António R. C. Paiva - researchr alias

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Viewing Publication 1 - 27 from 27

2017

Information-theoretic dataset selection for fast kernel learningAntónio R. C. Paiva. ijcnn 2017: 2088-2095 [doi]

2013

Semi-Automated Neuron Boundary Detection and Nonbranching Process Segmentation in Electron Microscopy ImagesElizabeth Jurrus, Shigeki Watanabe, Richard J. Giuly, António R. C. Paiva, Mark H. Ellisman, Erik M. Jorgensen, Tolga Tasdizen. ni, 11(1):5-29, 2013. [doi]

Kernel Methods on Spike Train Space for Neuroscience: A TutorialIl Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, Jose C. Principe. spm, 30(4):149-160, 2013. [doi]

2012

Fingerprint Image Segmentation using Data Manifold Characteristic FeaturesAntónio R. C. Paiva, Tolga Tasdizen. ijprai, 26(4), 2012. [doi]

2011

Trace driven registration of neuron confocal microscopy stacksLuke Hogrebe, António R. C. Paiva, Elizabeth Jurrus, Cameron Christensen, Michael Bridge, Julie R. Korenberg, Tolga Tasdizen. isbi 2011: 1345-1348 [doi]

Fast AdaBoost training using weighted novelty selectionMojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen. ijcnn 2011: 1245-1250 [doi]

2010

Detection of neuron membranes in electron microscopy images using a serial neural network architectureElizabeth Jurrus, António R. C. Paiva, Shigeki Watanabe, James R. Anderson 0002, Bryan W. Jones, Ross T. Whitaker, Erik M. Jorgensen, Robert Marc, Tolga Tasdizen. mia, 14(6):770-783, 2010. [doi]

A comparison of binless spike train measuresAntónio R. C. Paiva, Il Park, José C. Príncipe. nca, 19(3):405-419, 2010. [doi]

Detection of Salient Image Points Using Principal Subspace Manifold StructureAntónio R. C. Paiva, Tolga Tasdizen. icpr 2010: 1389-1392 [doi]

Using Sequential Context for Image AnalysisAntónio R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen. icpr 2010: 2800-2803 [doi]

Fast semi-supervised image segmentation by novelty selectionAntónio R. C. Paiva, Tolga Tasdizen. icassp 2010: 1054-1057 [doi]

Image Parsing with a Three-State Series Neural Network ClassifierMojtaba Seyedhosseini, António R. C. Paiva, Tolga Tasdizen. icpr 2010: 4508-4511 [doi]

A Reproducing Kernel Hilbert Space Framework for ITLJian-Wu Xu, Robert Jenssen, António R. C. Paiva, Il Park 0002. In José C. Príncipe, editor, Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives. pages 351-384, Springer, 2010. [doi]

2009

Automatic Markup of Neural Cell Membranes Using Boosted Decision StumpsKannan Umadevi Venkataraju, António R. C. Paiva, Elizabeth Jurrus, Tolga Tasdizen. isbi 2009: 1039-1042 [doi]

2008

A Reproducing Kernel Hilbert Space Framework for Information-Theoretic LearningJian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe. tsp, 56(12):5891-5902, 2008. [doi]

2007

Self-organizing maps with dynamic learning for signal reconstructionJeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe. NN, 20(2):274-284, 2007. [doi]

Hierarchal Decomposition of Neural Data using Boosted Mixtures of Hidden Markov Chains and its application to a BMIShalom Darmanjian, António R. C. Paiva, Jose C. Principe, J. Sanchez. ijcnn 2007: 3062-3067 [doi]

Spectral Clustering of Synchronous Spike TrainsAntónio R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe. ijcnn 2007: 1831-1835 [doi]

A Closed Form Solution for Multiple-Input Spike Based Adaptive FiltersIl Park, António R. C. Paiva, José C. Príncipe, John G. Harris. ijcnn 2007: 2064-2068 [doi]

A Novel Weighted LBG Algorithm for Neural Spike CompressionSudhir Rao, António R. C. Paiva, Jose C. Principe. ijcnn 2007: 1883-1887 [doi]

A Monte Carlo Sequential Estimation of Point Process Optimum Filtering for Brain Machine InterfacesYiwen Wang, António R. C. Paiva, José C. Príncipe, Justin C. Sanchez. ijcnn 2007: 2250-2255 [doi]

2006

2004

Evaluation of Some Reordering Techniques for Image VQ Index CompressionAntónio R. C. Paiva, Armando J. Pinho. iciar 2004: 302-309 [doi]

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2004

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