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Viewing Publication 1 - 100 from 190

2016

Predicting visual attention using gamma kernelsRyan Burt, Eder Santana, Jose C. Principe, Nina Thigpen, Andreas Keil. icassp 2016: 1606-1610 [doi]

Information point set registration for shape recognitionZheng Cao, Jose C. Principe, Bing Ouyang. icassp 2016: 2603-2607 [doi]

Insights into Entropy as a Measure of Multivariate VariabilityBadong Chen, Jianji Wang, Haiquan Zhao, Jose C. Principe. entropy, 18(5):196, 2016. [doi]

Generalized Correntropy for Robust Adaptive FilteringBadong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, Jose C. Principe. tsp, 64(13):3376-3387, 2016. [doi]

Reinforcement Learning in Video Games Using Nearest Neighbor Interpolation and Metric LearningMatthew Emigh, Evan G. Kriminger, Austin J. Brockmeier, Jose C. Principe, Panos M. Pardalos. tciaig, 8(1):56-66, 2016. [doi]

The Kernel Adaptive Autoregressive-Moving-Average AlgorithmKan Li, Jose C. Principe. tnn, 27(2):334-346, 2016. [doi]

Sparse Least Logarithmic Absolute Difference Algorithm with Correntropy-Induced Metric PenaltyWentao Ma, Badong Chen, Haiquan Zhao, Guan Gui, Jiandong Duan, Jose C. Principe. cssp, 35(3):1077-1089, 2016. [doi]

Neurally Encoding Time for Olfactory NavigationIn Jun Park, Andrew M. Hein, Yuriy V. Bobkov, Matthew A. Reidenbach, Barry W. Ache, Jose C. Principe. ploscb, 12(1), 2016. [doi]

Kernel Learning for Dynamic Texture SynthesisXinge You, Weigang Guo, Shujian Yu, Kan Li, Jose C. Principe, Dacheng Tao. TIP, 25(10):4782-4795, 2016. [doi]

Self-organizing kernel adaptive filteringSonglin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, Jose C. Principe. ejasp, 2016:106, 2016. [doi]

2015

Explicit versus implicit source estimation for blind multiple input single output system identificationAustin J. Brockmeier, Jose C. Principe. icassp 2015: 2140-2144 [doi]

Group feature selection in image classification with multiple kernel learningZheng Cao, Jose C. Principe, Bing Ouyang. ijcnn 2015: 1-5 [doi]

Self-organizing maps with information theoretic learningRakesh Chalasani, Jose C. Principe. ijon, 147:3-14, 2015. [doi]

On initial convergence behavior of the kernel least mean square algorithmBadong Chen, Ren Wang, Nanning Zheng, Jose C. Principe. ijcnn 2015: 1-5 [doi]

Exponential C-Loss for data fittingBadong Chen, Ren Wang, Nanning Zheng, Jose C. Principe. ijcnn 2015: 1-6 [doi]

Convergence of a Fixed-Point Algorithm under Maximum Correntropy CriterionBadong Chen, Jianji Wang, Haiquan Zhao, Nanning Zheng, Jose C. Principe. spl, 22(10):1723-1727, 2015. [doi]

Linear discriminant analysis with an information divergence criterionMatthew Emigh, Evan Kriminger, Jose C. Principe. ijcnn 2015: 1-6 [doi]

Special Issue on Advances in Self-organizing MapsPablo A. Estévez, Jose C. Principe. ijon, 147:1-2, 2015. [doi]

Directed generalized measure of association: A data driven approach towards causal inferenceMehrnaz Khodam Hazrati, Andreas Keil, Jose C. Principe. ijcnn 2015: 1-8 [doi]

Long-term scalp epileptic EEG quantification with GMA dynamicsHong Ji, Mehrnaz Khodam Hazrati, Badong Chen, Yonghong Liu, Andreas Keil, Jose C. Principe. embc 2015: 2892-2895 [doi]

Sparsity aware minimum error entropy algorithmsWentao Ma, Hua Qu, Ji-hong Zhao, Badong Chen, Jose C. Principe. icassp 2015: 2179-2183 [doi]

Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]Jose C. Principe, Badong Chen. cim, 10(2):68-77, 2015. [doi]

Effective insect recognition using a stacked autoencoder with maximum correntropy criterionYu Qi, Goktug T. Cinar, Vinícius M. A. Souza, Gustavo E. A. P. A. Batista, Yueming Wang, Jose C. Principe. ijcnn 2015: 1-7 [doi]

Learning joint features for color and depth images with Convolutional Neural Networks for object classificationEder Santana, Karl P. Dockendorf, Jose C. Principe. icassp 2015: 1320-1323 [doi]

Mixed generative and supervised learning modes in Deep Predictive Coding NetworksEder Santana, Jose C. Principe. ijcnn 2015: 1-4 [doi]

Parallel flow in Deep Predictive Coding NetworksEder Santana, Goktug T. Cinar, Jose C. Principe. ijcnn 2015: 1-5 [doi]

A switch kernel width method of correntropy for channel estimationWeihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, Jose C. Principe. ijcnn 2015: 1-7 [doi]

An adaptive kernel width update method of correntropy for channel estimationWeihua Wang, Ji-hong Zhao, Hua Qu, Badong Chen, Jose C. Principe. icdsp 2015: 916-920 [doi]

A variable step-size adaptive algorithm under maximum correntropy criterionRen Wang, Badong Chen, Nanning Zheng, Jose C. Principe. ijcnn 2015: 1-5 [doi]

Proportionate Minimum Error Entropy Algorithm for Sparse System IdentificationZongze Wu, Siyuan Peng, Badong Chen, Haiquan Zhao, Jose C. Principe. entropy, 17(9):5995-6006, 2015. [doi]

Minimum Error Entropy Algorithms with Sparsity Penalty ConstraintsZongze Wu, Siyuan Peng, Wentao Ma, Badong Chen, Jose C. Principe. entropy, 17(5):3419-3437, 2015. [doi]

2014

Correntropy kernel temporal differences for reinforcement learning brain machine interfacesJihye Bae, Luis G. Sanchez Giraldo, Jose C. Principe, Joseph T. Francis. ijcnn 2014: 2713-2717 [doi]

Neural Decoding with Kernel-Based Metric LearningAustin J. Brockmeier, John S. Choi, Evan G. Kriminger, Joseph T. Francis, Jose C. Principe. neco, 26(6):1080-1107, 2014. [doi]

Projentropy: Using entropy to optimize spatial projectionsAustin J. Brockmeier, Eder Santana, Luis Gonzalo Sánchez Giraldo, Jose C. Principe. icassp 2014: 4538-4542 [doi]

Pitch estimation using non-negative matrix factorizationRyan Burt, Goktug T. Cinar, Jose C. Principe. ijcnn 2014: 2058-2062 [doi]

Dynamic sparse coding with smoothing proximal gradient methodRakesh Chalasani, Jose C. Principe. icassp 2014: 7188-7192 [doi]

Trimmed affine projection algorithmsBadong Chen, Xiaohan Yang, Hong Ji, Hua Qu, Nanning Zheng, Jose C. Principe. ijcnn 2014: 1923-1928 [doi]

Feature selection based on survival Cauchy-Schwartz mutual informationBadong Chen, Xiaohan Yang, Hua Qu, Ji-hong Zhao, Nanning Zheng, Jose C. Principe. icassp 2014: 6711-6715 [doi]

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iterationBadong Chen, Nanning Zheng, Jose C. Principe. icassp 2014: 5257-5261 [doi]

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy CriterionBadong Chen, Lei Xing, Junli Liang, Nanning Zheng, Jose C. Principe. spl, 21(7):880-884, 2014. [doi]

An Extended Result on the Optimal Estimation Under the Minimum Error Entropy CriterionBadong Chen, Guangmin Wang, Nanning Zheng, Jose C. Principe. entropy, 16(4):2223-2233, 2014. [doi]

A Note on the W-S Lower Bound of the MEE EstimationBadong Chen, Guangmin Wang, Nanning Zheng, Jose C. Principe. entropy, 16(2):814-824, 2014. [doi]

Clustering of time series using a hierarchical linear dynamical systemGoktug T. Cinar, Jose C. Principe. icassp 2014: 6741-6745 [doi]

Hierarchical Linear Dynamical Systems: A new model for clustering of time seriesGoktug T. Cinar, Carlos A. Loza, Jose C. Principe. ijcnn 2014: 2464-2470 [doi]

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series DatabasesPablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Jose C. Principe, Pablo Zegers. cim, 9(3):27-39, 2014. [doi]

Integrate and Fire Pulse Train Automaton for QRS detectionGabriel Nallathambi, Jose C. Principe. tbe, 61(2):317-326, 2014. [doi]

Quantized mixture kernel least mean squareRosha Pokharel, Sohan Seth, Jose C. Principe. ijcnn 2014: 4168-4174 [doi]

2014 IEEE CIS Awards [Society Briefs]Jose C. Principe. cim, 9(1):4-9, 2014. [doi]

On the Importance of Synergisms Between Neuroscience and Engineering [Further Thoughts]Jose C. Principe. pieee, 102(4):526-527, 2014. [doi]

Cognitive Architectures for Sensory ProcessingJose C. Principe, Rakesh Chalasani. pieee, 102(4):514-525, 2014. [doi]

Computational intelligence in controlAntónio E. Ruano, Shuzhi Sam Ge, Thierry-Marie Guerra, Frank L. Lewis, Jose C. Principe, Matjaz Colnaric. arc, 38(2):233-242, 2014. [doi]

The C-loss function for pattern classificationAbhishek Singh, Rosha Pokharel, Jose C. Principe. PR, 47(1):441-453, 2014. [doi]

On the optimization properties of the correntropic loss function in data analysisMujahid N. Syed, Panos M. Pardalos, Jose C. Principe. ol, 8(3):823-839, 2014. [doi]

An asymmetric stagewise least square loss function for imbalanced classificationGuibiao Xu, Bao-Gang Hu, Jose C. Principe. ijcnn 2014: 1107-1114 [doi]

Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHSPingping Zhu, Badong Chen, Jose C. Principe. tsp, 62(1):141-155, 2014. [doi]

2013

A greedy algorithm for model selection of tensor decompositionsAustin J. Brockmeier, Jose C. Principe, Anh Huy Phan, Andrzej Cichocki. icassp 2013: 6113-6117 [doi]

A Novel Nonparametric Distance Estimator for Densities with Error BoundsAlexandre R. F. Carvalho, João Manuel R. S. Tavares, Jose C. Principe. entropy, 15(5):1609-1623, 2013. [doi]

A fast proximal method for convolutional sparse codingRakesh Chalasani, Jose C. Principe, Naveen Ramakrishnan. ijcnn 2013: 1-5 [doi]

Survival kernel with application to kernel adaptive filteringBadong Chen, Nanning Zheng, Jose C. Principe. ijcnn 2013: 1-6 [doi]

A scalable RC architecture for mean-shift clusteringStefan Craciun, Gongyu Wang, Alan D. George, Herman Lam, Jose C. Principe. asap 2013: 370-374 [doi]

Diffusion least-mean squares over adaptive networks with dynamic topologiesBilal Fadlallah, Jose C. Principe. ijcnn 2013: 1-6 [doi]

A parameter-free kernel design based on cumulative distribution function for correntropyJongmin Lee, Pingping Zhu, Jose C. Principe. ijcnn 2013: 1-5 [doi]

Kernel adaptive filtering with confidence intervalsKan Li, Badong Chen, Jose C. Principe. ijcnn 2013: 1-6 [doi]

Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]Klaus-Robert Müller, Tülay Adali, Kenji Fukumizu, Jose C. Principe, Sergios Theodoridis. spm, 30(4):14-15, 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]

Mixture kernel least mean squareRosha Pokharel, Sohan Seth, Jose C. Principe. ijcnn 2013: 1-7 [doi]

An adaptive duty-cycle methodology for PV power maximization using a single variableAndre A. Vidal, Vitor Grade Tavares, Jose C. Principe. eurocon 2013: 795-802 [doi]

The Convergence of Machine and Biological IntelligenceZhaohui Wu, Raj Reddy, Gang Pan, Nenggan Zheng, Paul F. M. J. Verschure, Qiaosheng Zhang, Xiaoxiang Zheng, Jose C. Principe, Alex Kreilinger, Martin Rohm, Vera Kaiser, Robert Leeb, Rüdiger Rupp, Gernot R. Müller-Putz. expert, 28(5):28-43, 2013. [doi]

Analysis on extended kernel recursive least squares algorithmPingping Zhu, Jose C. Principe. ijcnn 2013: 1-4 [doi]

Kernel recurrent system trained by real-time recurrent learning algorithmPingping Zhu, Jose C. Principe. icassp 2013: 3572-3576 [doi]

2012

Sequential causal estimation and learning from time-varying imagesRakesh Chalasani, Goktug T. Cinar, Jose C. Principe. ijcnn 2012: 1-5 [doi]

Temporal context in object recognitionRakesh Chalasani, Jose C. Principe. mlsp 2012: 1-6 [doi]

Online efficient learning with quantized KLMS and L1 regularizationBadong Chen, Songlin Zhao, Sohan Seth, Jose C. Principe. ijcnn 2012: 1-6 [doi]

Stochastic Information Gradient Algorithm with Generalized Gaussian Distribution ModelBadong Chen, Jose C. Principe, Jinchun Hu, Yu Zhu. jcsc, 21(1), 2012. [doi]

On the Smoothed Minimum Error Entropy CriterionBadong Chen, Jose C. Principe. entropy, 14(11):2311-2323, 2012. [doi]

Hidden state estimation using the Correntropy Filter with fixed point update and adaptive kernel sizeGoktug T. Cinar, Jose C. Principe. ijcnn 2012: 1-6 [doi]

Locally linear embedding based on correntropy measure for visualization and classificationGenaro Daza-Santacoloma, Germán Castellanos-Domínguez, Jose C. Principe. ijon, 80:19-30, 2012. [doi]

Online learning using a Bayesian surprise metricErion Hasanbelliu, Kittipat Kampa, Jose C. Principe, James Tory Cobb. ijcnn 2012: 1-8 [doi]

Nearest Neighbor Distributions for imbalanced classificationEvan Kriminger, Jose C. Principe, Choudur Lakshminarayan. ijcnn 2012: 1-5 [doi]

Correntropy-based spectrum sensing for wireless microphones in man-made noise environmentsJongmin Lee, Jose C. Principe. cogip 2012: 1-6 [doi]

Kernel classifier with Correntropy lossRosha Pokharel, Jose C. Principe. ijcnn 2012: 1-6 [doi]

Extraction of signals with higher order temporal structure using CorrentropyEder Santana, Jose C. Principe, Ewaldo Santana, Allan Kardec Barros. sigpro, 92(8):1844-1852, 2012. [doi]

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 3 [In the Spotlight]Alle-Jan van der Veen, Jose C. Principe. spm, 29(1):184, 2012. [doi]

An adaptive kernel width update for correntropySonglin Zhao, Badong Chen, Jose C. Principe. ijcnn 2012: 1-5 [doi]

2011

Stochastic kernel temporal difference for reinforcement learningJihye Bae, Luis G. Sánchez Giraldo, Pratik Chhatbar, Joseph T. Francis, Justin C. Sanchez, Jose C. Principe. mlsp 2011: 1-6 [doi]

Statistical dependence measure for feature selection in microarray datasetsVerónica Bolón-Canedo, Sohan Seth, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Jose C. Principe. esann 2011: [doi]

Efficient temporal decomposition of local field potentialsAustin J. Brockmeier, Jose C. Principe, Babak Mahmoudi, Justin C. Sanchez. mlsp 2011: 1-6 [doi]

Sparse analog associative memory via L1-regularization and thresholdingRakesh Chalasani, Jose C. Principe. ijcnn 2011: 1994-1999 [doi]

Adaptive background estimation using an information theoretic cost for hidden state estimationGoktug T. Cinar, Jose C. Principe. ijcnn 2011: 489-494 [doi]

Autocorrelation features for synthetic aperture sonar image seabed segmentationJames Tory Cobb, Jose C. Principe. SMC 2011: 3341-3346 [doi]

A reproducing kernel Hilbert space formulation of the principle of relevant informationLuis G. Sánchez Giraldo, Jose C. Principe. mlsp 2011: 1-6 [doi]

A robust point matching algorithm for non-rigid registration using the Cauchy-Schwarz divergenceErion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, Jose C. Principe. mlsp 2011: 1-6 [doi]

A New Spatiotemporal Filtering Method for Single-Trial Estimation of Correlated ERP SubcomponentsDelaram Jarchi, Saeid Sanei, Jose C. Principe, Bahador Makkiabadi. tbe, 58(1):132-143, 2011. [doi]

Closed-form cauchy-schwarz PDF divergence for mixture of GaussiansKittipat Kampa, Erion Hasanbelliu, Jose C. Principe. ijcnn 2011: 2578-2585 [doi]

Irregular Tree-Structured Bayesian Network for image segmentationKittipat Kampa, Duangmanee Putthividhya, Jose C. Principe. mlsp 2011: 1-6 [doi]

Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropyBibhu Prasad Mishra, Jose C. Principe, Pablo A. Estévez, Pavlos Protopapas. mlsp 2011: 1-6 [doi]

Integrate and fire circuit as an ADC replacementManu Rastogi, Alexander Singh-Alvarado, John G. Harris, Jose C. Principe. iscas 2011: 2421-2424 [doi]

The integrate-and-fire sampler: A special type of asynchronous Σ - Δ modulatorAlexander Singh-Alvarado, Manu Rastogi, John G. Harris, Jose C. Principe. iscas 2011: 2031-2034 [doi]

"Trends" Expert Overview Sessions Revived at ICASSP 2011: Part 2Alle-Jan van der Veen, Jose C. Principe. spm, 28(6):200, 2011. [doi]

Kernel adaptive filtering with maximum correntropy criterionSonglin Zhao, Badong Chen, Jose C. Principe. ijcnn 2011: 2012-2017 [doi]

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