publications:
- title: "Methodology for Optimization of Polymer Blends Composition"
  author:
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Gil de Carvalho"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=P84906"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  year: "2012"
  doi: "10.5772/2693"
  abstract: "The research of polymer blends, or alloys, has experienced enormous growth in size and sophistication in terms of its scientific base, technology and commercial development (Paul & Bucknall, 2000). As a consequence two very important issues arise: the increased availability of new materials and the need for materials with better performance. Polymer blends are polymer systems originated from the physical mixture of two or more polymers and/or copolymers, without a high degree of chemical reactions between them. To be considered a blend, the compounds should have a concentration above 2% in mass of the second component (Hage & Pessan, 2001; Ihm & White, 1996). However, the commercial viability of new polymers has begun to become increasingly difficult, due to several factors. The advantages of polymer blends lie in the ability to combine existing polymers into new compositions obtaining in this way, materials with specific properties. This strategy allows for savings in research and development of new materials with equivalent properties, as well as versatility, simplicity, relatively low cost (Koning et al., 1998) and faster development time of new materials (Silva, 2011). Rossini (2005) mentions that economically and environmentally, a very viable alternative is to replace the recycling of pure polymers by mixtures of discarded materials. Mechanical recycling causes the breakdown of polymer chains, which impairs the properties of polymers. This degradation is directly proportional to the number of cycles of recycling. Therefore, the blend of two or more discarded polymers can be a realistic alternative, since it can result in materials with very interesting properties, at a low cost. Besides its inexpensiveness, this choice is also a smart solution to the reutilization of garbage. Postconsumption package disposal always occurs in a disorderly manner and without regard for the environment. The recycling process becomes increasingly more important and necessary to remediate environmental impact. According Pang et al. (2000) apud Marconcini & Ruvolo Filho (2006) polyolefins such as high density polyethylene (HDPE), low density polyethylene (LDPE) and polypropylene (PP) and polyesters such as poly (ethylene terephthalate) (PET) are classes of thermoplastics that have been widely used in packaging and constitute a large part of post-consumer waste. The recycling of these materials and their mechanical characterization anticipating the possibility of a new cycle of life in the form of new products is challenging, although technologically and environmentally correct (Marconcini & Ruvolo Filho, 2006). The polymer blends can be obtained basically in two ways (Rossini, 2005):  By dissolving the polymers in a good solvent, common to them, and subsequently letting the solvent evaporate; and  In a mixer where the working temperature is high enough to melt or mollify the polymeric components, without causing degradation of the same. According to Wessler (2007), the polymer blends may be miscible or immiscible. The miscibility is the most important property to be analyzed in a blend, given that all other system properties depend on the number of phases, their morphology and adhesion between them. The miscibility term is directly related to the solubility, i.e., a blend is miscible when the polymers dissolve in each other mutually (Silva, 2011). The immiscible between the various engineering polymers is a limiting factor for its production. Thus, it is necessary to use compatibilization agents for their production. Computational modeling has become increasingly popular. The main objective of models is to assist process optimization with minimal investment of time and resources for experimental work. Most techniques are classified into two main groups: physical models and statistical models as shown by Malinov & Sha (2003). Statistical methods are chosen according to research objectives. There are several multivariate analysis methods for purposes quite different from each other. The desired value and quality of one or more product characteristics can be obtained via experiment analysis and DOE. These methods help determining optimal settings and controllable factors of a process such as: temperature, pressure, amount of reagents, operating time, etc.. When compared to the method of trial and error, DOE also allows a reduction of the number of required tests, and savings in time, labor and money. An important application of DOE is the optimization of experimental formulations as, for example, the composition of mixtures. The formulation development is a fundamental part of the food industry, chemicals, plastics, rubber, paints, medicines, and the like. In materials science, it is important to understand the correlation between material processing, microstructure and properties that enable the optimization of process parameters and compositions of materials to achieve the desired combination of properties, according Malinov & Sha (2003). The problem presented here is to determine the fraction of each polymer blend component, and to determine the agent or, in some cases, an agents system, when it is necessary to use more than one compatibilizing agent. Thus, this text studies the effect of factors, for example, amount of polypropylene, additive type, and amount of additive in the composition of polymer blends, i.e., the optimal polymer blends formulation using factorial design."
  links:
    "url": "http://www.intechopen.com/books/principal-component-analysis-engineering-applications/methodology-for-optimization-of-polymer-blends-composition"
  tags:
  - "control systems"
  - "design science"
  - "rule-based"
  - "Recycling"
  - "operating system"
  - "Environmental Engineering "
  - "composition"
  - "design research"
  - "testing"
  - "type system"
  - "model-driven development"
  - "model-driven engineering"
  - "Engineering Design for Environment"
  - "Meta-Environment"
  - "process modeling"
  - "Sustainability"
  researchr: "https://researchr.org/publication/coelho2012methodology"
  cites: 32
  citedby: 1
  kind: "misc"
  key: "coelho2012methodology"
- title: "Sub-pixel accuracy edge fitting by means of B-spline"
  author:
  - name: "Ricardo Lucas Breder Breder"
    link: "http://lattes.cnpq.br/3742597671704110"
  - name: "Vania Vieira Estrela"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3"
  - name: "Joaquim Teixeira de Assis"
    link: "http://lattes.cnpq.br/7307238902576135"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/57137696/the-prevalence-of-headache-among-elderly-in-a-low-income-area-of-s-o-paulo-brazil"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Ricardo Lucas Breder"
    link: "http://researchr.org/alias/breder%2C-r."
  - name: "Vânia Vieira Estrela"
    link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100"
  - name: "Vania Vieira Estrela"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim T. de Assis"
    link: "http://researchr.org/alias/joaquim-teixeira-de-assis"
  - name: "V V Estrela"
    link: "http://researchr.org/alias/estrela%2C-vania-vieira"
  - name: "Joaquim T. de Assis"
    link: "http://researchr.org/alias/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  year: "2009"
  abstract: "Local perturbations around contours strongly disturb the final result of computer vision tasks. It is common to introduce a priori information in the estimation process. Improvement can be achieved via a deformable model such as the snake model. In recent works, the deformable contour is modeled by means of B-spline snakes which allows local control, concise representation, and the use of fewer parameters. The estimation of the sub-pixel edges using a global B-spline model relies on the contour global determination according to a maximum likelihood framework and using the observed data likelihood. This procedure guarantees that the noisiest data will be filtered out. The data likelihood is computed as a consequence of the observation model which includes both orientation and position information. Comparative experiments of this algorithm and the classical spline interpolation have shown that the proposed algorithm outperforms the classical approach for Gaussian and Salt & Pepper noise."
  researchr: "https://researchr.org/publication/estrela2009sub"
  cites: 22
  citedby: 1
  pages: "1-5"
  booktitle: "Multimedia Signal Processing, 2009. MMSP'09. IEEE International Workshop on"
  organization: "IEEE"
  kind: "inproceedings"
  key: "estrela2009sub"
- title: "Error concealment by means of clustered blockwise PCA"
  author:
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Joaquim Teixeira de Assis"
    link: "http://lattes.cnpq.br/7307238902576135"
  - name: "Vania Vieira Estrela"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  year: "2009"
  doi: "http://dx.doi.org/10.1109/PCS.2009.5167442"
  abstract: "This paper analyzes two variants of Principal Component Analysis (PCA) for error-concealment: blockwise PCA and clustered blockwise PCA. Realistic communication channels are not error free. Since the signals transmitted on real-world channels are highly compressed, regardless of cause, the quality of images reconstructed from any corrupted data can be very unsatisfactory. Error concealment is intended to ameliorate the impact of channel impairments by utilizing a priori information about typical images in conjunction with available picture redundancy to provide subjectively acceptable renditions of affected picture regions. Some experiments have been performed with the two proposed algorithms and they are shown."
  links:
    doi: "http://dx.doi.org/10.1109/PCS.2009.5167442"
  tags:
  - "redundancy"
  - "data-flow"
  - "data-flow analysis"
  researchr: "https://researchr.org/publication/coelho2009error"
  cites: 13
  citedby: 6
  pages: "1-4"
  booktitle: "Picture Coding Symposium, 2009. PCS 2009"
  organization: "IEEE"
  publisher: "IEEE"
  kind: "inproceedings"
  key: "coelho2009error"
- title: "Methodology for Optimization of Polymer Blends Composition"
  author:
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Gil de Carvalho"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=P84906"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  year: "2012"
  doi: "10.5772/2693"
  abstract: "The research of polymer blends, or alloys, has experienced enormous growth in size and sophistication in terms of its scientific base, technology and commercial development (Paul & Bucknall, 2000). As a consequence two very important issues arise: the increased availability of new materials and the need for materials with better performance. Polymer blends are polymer systems originated from the physical mixture of two or more polymers and/or copolymers, without a high degree of chemical reactions between them. To be considered a blend, the compounds should have a concentration above 2% in mass of the second component (Hage & Pessan, 2001; Ihm & White, 1996). However, the commercial viability of new polymers has begun to become increasingly difficult, due to several factors. The advantages of polymer blends lie in the ability to combine existing polymers into new compositions obtaining in this way, materials with specific properties. This strategy allows for savings in research and development of new materials with equivalent properties, as well as versatility, simplicity, relatively low cost (Koning et al., 1998) and faster development time of new materials (Silva, 2011). Rossini (2005) mentions that economically and environmentally, a very viable alternative is to replace the recycling of pure polymers by mixtures of discarded materials. Mechanical recycling causes the breakdown of polymer chains, which impairs the properties of polymers. This degradation is directly proportional to the number of cycles of recycling. Therefore, the blend of two or more discarded polymers can be a realistic alternative, since it can result in materials with very interesting properties, at a low cost. Besides its inexpensiveness, this choice is also a smart solution to the reutilization of garbage. Postconsumption package disposal always occurs in a disorderly manner and without regard for the environment. The recycling process becomes increasingly more important and necessary to remediate environmental impact. According Pang et al. (2000) apud Marconcini & Ruvolo Filho (2006) polyolefins such as high density polyethylene (HDPE), low density polyethylene (LDPE) and polypropylene (PP) and polyesters such as poly (ethylene terephthalate) (PET) are classes of thermoplastics that have been widely used in packaging and constitute a large part of post-consumer waste. The recycling of these materials and their mechanical characterization anticipating the possibility of a new cycle of life in the form of new products is challenging, although technologically and environmentally correct (Marconcini & Ruvolo Filho, 2006). The polymer blends can be obtained basically in two ways (Rossini, 2005):  By dissolving the polymers in a good solvent, common to them, and subsequently letting the solvent evaporate; and  In a mixer where the working temperature is high enough to melt or mollify the polymeric components, without causing degradation of the same. According to Wessler (2007), the polymer blends may be miscible or immiscible. The miscibility is the most important property to be analyzed in a blend, given that all other system properties depend on the number of phases, their morphology and adhesion between them. The miscibility term is directly related to the solubility, i.e., a blend is miscible when the polymers dissolve in each other mutually (Silva, 2011). The immiscible between the various engineering polymers is a limiting factor for its production. Thus, it is necessary to use compatibilization agents for their production. Computational modeling has become increasingly popular. The main objective of models is to assist process optimization with minimal investment of time and resources for experimental work. Most techniques are classified into two main groups: physical models and statistical models as shown by Malinov & Sha (2003). Statistical methods are chosen according to research objectives. There are several multivariate analysis methods for purposes quite different from each other. The desired value and quality of one or more product characteristics can be obtained via experiment analysis and DOE. These methods help determining optimal settings and controllable factors of a process such as: temperature, pressure, amount of reagents, operating time, etc.. When compared to the method of trial and error, DOE also allows a reduction of the number of required tests, and savings in time, labor and money. An important application of DOE is the optimization of experimental formulations as, for example, the composition of mixtures. The formulation development is a fundamental part of the food industry, chemicals, plastics, rubber, paints, medicines, and the like. In materials science, it is important to understand the correlation between material processing, microstructure and properties that enable the optimization of process parameters and compositions of materials to achieve the desired combination of properties, according Malinov & Sha (2003). The problem presented here is to determine the fraction of each polymer blend component, and to determine the agent or, in some cases, an agents system, when it is necessary to use more than one compatibilizing agent. Thus, this text studies the effect of factors, for example, amount of polypropylene, additive type, and amount of additive in the composition of polymer blends, i.e., the optimal polymer blends formulation using factorial design."
  links:
    "url": "http://www.intechopen.com/books/principal-component-analysis-engineering-applications/methodology-for-optimization-of-polymer-blends-composition"
  tags:
  - "control systems"
  - "design science"
  - "rule-based"
  - "Recycling"
  - "operating system"
  - "Environmental Engineering "
  - "composition"
  - "design research"
  - "testing"
  - "type system"
  - "model-driven development"
  - "model-driven engineering"
  - "Engineering Design for Environment"
  - "Meta-Environment"
  - "process modeling"
  - "Sustainability"
  researchr: "https://researchr.org/publication/coelho2012methodology"
  cites: 32
  citedby: 1
  kind: "misc"
  key: "coelho2012methodology"
- title: "Estimating motion with principal component regression strategies"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  year: "2009"
  doi: "10.1109/MMSP.2009.5293264"
  abstract: "In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced. These are easy alternatives to dealing with mixtures of motion vectors in addition to the lack of prior information on spatial-temporal statistics (although they are supposed to be normal in a local sense). The 2D motion vector estimation approaches take into consideration simple image properties and are used to harmonize regularized least square estimates. Their main advantage is that no knowledge of the noise distribution is necessary, although there is a underlying assumption of localized smoothness. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  researchr: "https://researchr.org/publication/CarmoEstrela2009"
  cites: 0
  citedby: 3
  booktitle: "Estimating motion with principal component regression strategies"
  organization: "IEEE"
  publisher: "IEEE"
  kind: "proceedings"
  key: "CarmoEstrela2009"
- title: "Estimating Motion with Principal Component Regression Strategies"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "https://www.linkedin.com/in/felipe-pereira-do-carmo-b452b648/?ppe=1"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Felipe Pereira do Carmo"
    link: "https://www.linkedin.com/in/felipe-pereira-do-carmo-b452b648/?ppe=1"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  year: "2009"
  doi: "10.1109/mmsp.2009.5293264"
  researchr: "https://researchr.org/publication/do-CarmoEstrelade-AssisEstrelaEstrelado-CarmoEstrelade-AssisEstrelaEstrela2009"
  cites: 0
  citedby: 1
  kind: "inproceedings"
  key: "do-CarmoEstrelade-AssisEstrelaEstrelado-CarmoEstrelade-AssisEstrelaEstrela2009"
- title: "A PRINCIPAL COMPONENT REGRESSION STRATEGY FOR ESTIMATING MOTION"
  author:
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Vania Estrela"
    link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0"
  - name: "Marcos Henrique Da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "M. H. S. Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Joaquim Teixeira Assis"
    link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  year: "2008"
  abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  links:
    "url": "http://www.engopt.org/08/nukleo/pdfs/0418\\_eng\\_op2008\\_formatado\\_4.pdf"
  tags:
  - "clustering"
  - "image processing"
  - "Motion estimation"
  - "surveillance"
  - " motion detection"
  - "systematic-approach"
  - " principal component regression"
  researchr: "https://researchr.org/publication/citeulike%3A11969138"
  cites: 16
  citedby: 0
  journal: "EngOpt 2008 - International Conference on Engineering Optimization"
  kind: "article"
  key: "citeulike:11969138"
- title: "Estimating Motion with Principal Component Regression Strategies"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "https://www.linkedin.com/in/felipe-pereira-do-carmo-b452b648/?ppe=1"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Felipe Pereira do Carmo"
    link: "https://www.linkedin.com/in/felipe-pereira-do-carmo-b452b648/?ppe=1"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  year: "2009"
  doi: "10.1109/mmsp.2009.5293264"
  researchr: "https://researchr.org/publication/do-CarmoEstrelade-AssisEstrelaEstrelado-CarmoEstrelade-AssisEstrelaEstrela2009"
  cites: 0
  citedby: 1
  kind: "inproceedings"
  key: "do-CarmoEstrelade-AssisEstrelaEstrelado-CarmoEstrelade-AssisEstrelaEstrela2009"
- title: "Error concealment by means of clustered blockwise PCA"
  author:
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Joaquim Teixeira de Assis"
    link: "http://lattes.cnpq.br/7307238902576135"
  - name: "Vania Vieira Estrela"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4793789Y3"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  year: "2009"
  doi: "http://dx.doi.org/10.1109/PCS.2009.5167442"
  abstract: "This paper analyzes two variants of Principal Component Analysis (PCA) for error-concealment: blockwise PCA and clustered blockwise PCA. Realistic communication channels are not error free. Since the signals transmitted on real-world channels are highly compressed, regardless of cause, the quality of images reconstructed from any corrupted data can be very unsatisfactory. Error concealment is intended to ameliorate the impact of channel impairments by utilizing a priori information about typical images in conjunction with available picture redundancy to provide subjectively acceptable renditions of affected picture regions. Some experiments have been performed with the two proposed algorithms and they are shown."
  links:
    doi: "http://dx.doi.org/10.1109/PCS.2009.5167442"
  tags:
  - "redundancy"
  - "data-flow"
  - "data-flow analysis"
  researchr: "https://researchr.org/publication/coelho2009error"
  cites: 13
  citedby: 6
  pages: "1-4"
  booktitle: "Picture Coding Symposium, 2009. PCS 2009"
  organization: "IEEE"
  publisher: "IEEE"
  kind: "inproceedings"
  key: "coelho2009error"
- title: "A PRINCIPAL COMPONENT REGRESSION STRATEGY FOR ESTIMATING MOTION"
  author:
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Vania Estrela"
    link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0"
  - name: "Marcos Henrique Da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "M. H. S. Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Joaquim Teixeira Assis"
    link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  year: "2008"
  abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  links:
    "url": "http://www.engopt.org/08/nukleo/pdfs/0418\\_eng\\_op2008\\_formatado\\_4.pdf"
  tags:
  - "clustering"
  - "image processing"
  - "Motion estimation"
  - "surveillance"
  - " motion detection"
  - "systematic-approach"
  - " principal component regression"
  researchr: "https://researchr.org/publication/citeulike%3A11969138"
  cites: 16
  citedby: 0
  journal: "EngOpt 2008 - International Conference on Engineering Optimization"
  kind: "article"
  key: "citeulike:11969138"
- title: "A principal component regression strategy for estimating motion"
  author:
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vânia Vieira Estrela"
    link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100"
  year: "2007"
  abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  links:
    "citeseerx": "http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=30CF9945160054185FD717CA89B547ED?doi=10.1.1.170.2851&rep=rep1&type=pdf"
    "url": "http://dl.acm.org/citation.cfm?id=1659167.1659210"
  researchr: "https://researchr.org/publication/Estrela%3A2007%3APCR%3A1659167.1659210"
  cites: 16
  citedby: 1
  pages: "224-228"
  booktitle: "The Seventh IASTED International Conference on Visualization, Imaging and Image Processing"
  series: "VIIP '07"
  address: "Anaheim, CA, USA"
  publisher: "ACTA Press"
  isbn: "978-0-88986-692-8"
  kind: "inproceedings"
  key: "Estrela:2007:PCR:1659167.1659210"
- title: "MOTION ESTIMATION BY MEANS OF PRINCIPAL REGRESSION"
  author:
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Alfredo Nazareno Pereira Boente"
    link: "http://academic.research.microsoft.com/Author/56850234/anp-boente"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Fernanda Demetrio da Silva Alves"
    link: "http://academic.research.microsoft.com/Author/50888332/fernando-da-silva-alves"
  - name: "Vania Vieira Estrela"
    link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  researchr: "https://researchr.org/publication/estrelamotion"
  cites: 0
  citedby: 0
  kind: "article"
  key: "estrelamotion"
- title: "Estimating motion with principal component regression strategies"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  year: "2009"
  doi: "10.1109/MMSP.2009.5293264"
  abstract: "In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced. These are easy alternatives to dealing with mixtures of motion vectors in addition to the lack of prior information on spatial-temporal statistics (although they are supposed to be normal in a local sense). The 2D motion vector estimation approaches take into consideration simple image properties and are used to harmonize regularized least square estimates. Their main advantage is that no knowledge of the noise distribution is necessary, although there is a underlying assumption of localized smoothness. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  researchr: "https://researchr.org/publication/CarmoEstrela2009"
  cites: 0
  citedby: 3
  booktitle: "Estimating motion with principal component regression strategies"
  organization: "IEEE"
  publisher: "IEEE"
  kind: "proceedings"
  key: "CarmoEstrela2009"
- title: "Blind signal separation and identification of mixtures of images"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo"
  - name: "Joaquim Teixeira de Assis"
    link: "http://lattes.cnpq.br/7307238902576135"
  - name: "Vania Vieira Estrela"
    link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Joaquim Teixeira Assis"
    link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  year: "2009"
  month: "nov"
  doi: "10.1109/ACSSC.2009.5470083"
  abstract: "In this paper, a novel technique for blind signal separation based on a combination of second order and higher order approaches is introduced. The problem of blind signal separation was solved in a wavelet domain. The main idea behind this approach is that the mixing signal can be decomposed into a sum of uncorrelated and/or independent sub-bands using the wavelet transform. In the beginning, the observed signal is prewhitened in the time domain then, the initial separation matrix will be estimated from second order statistics decorrelation method in the wavelet domain. The estimating matrix will be used as an initial separating matrix in the higher order statistics method in order to estimate the final separation matrix. The algorithm was tested using natural images. Extensive experiments have confirmed that the use of the proposed procedure provides promising results in separating the image from noisy mixtures of images."
  links:
    "url": "http://dx.doi.org/10.1109/ACSSC.2009.5470083"
  tags:
  - "rule-based"
  - "testing"
  - "systematic-approach"
  researchr: "https://researchr.org/publication/citeulike%3A7598576"
  cites: 24
  citedby: 0
  pages: "337-342"
  booktitle: "2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers"
  address: "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5470083"
  publisher: "IEEE"
  isbn: "978-1-4244-5825-7"
  kind: "inproceedings"
  key: "citeulike:7598576"