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Curriculum Vitae

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name seqamlab
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my publications

A Copula Ordinal Regression Framework for Joint Estimation of Facial Action Unit Intensity. In IEEE Trans. Affective Computing, Year 2017.
Baselines for Image Annotation. In International Journal of Computer Vision, (90) 1: 88-105, Year 2010.
Sparse dictionary methods for EEG signal classification in face perception. Machine Learning for Signal Processing (MLSP), 2010 IEEE International Workshop on. 331 - 336, Year 2010.
Integrative Protein Function Transfer using Factor Graphs and Heterogeneous Data Sources. IEEE Int'l Conf. Bioinformatics and Biomedicine (BIBM). Philadelphia, PA, Year 2008.
Visual interpretation of hand gestures for human-computer interaction: A review. In IEEE Trans. Pattern Analysis and Machine Intelligence, (19) 7: 677 -695, Year 1997.
Robust Real-time Performance-driven 3D Face Tracking. Proc. Intl. Conf. Pattern Recognition (ICPR). Cancun, Mexico, Year 2016.
Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure. In Bioinformatics, (22) 15: 1871-8, Year 2006.
A Dynamic Bayesian Network Approach to Figure Tracking Using Learned Dynamical Models. IEEE Int'l Conf. Computer Vision. Kerkyra, Greece, Year 1999.
Efficient use of unlabeled data for protein sequence classification: a comparative study. In BMC Bioinformatics, (10) S-14: Year 2009.
Expert Ordinal Convolutional Neural Networks for Facial Action Unit Intensity Estimation. IEEE International Conference on Face and Gesture, FG 2017. Year 2017.
A multimodal framework for interacting with complex virtual environments. Human Interaction with Complex Systems. editor(s) Ntuen, C.A. and Park, E. H.. 53-71, Kluwer Academic Publishers, Year 1996.
Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks. In SPIE Journal of Electronic Imaging, Year 2017.
Multimodal speaker detection using input/output hidden Markov models. Int'l Conf. Multimodal Interfaces. Beijing, China, Year 2000.
Guest editors' introduction to the special section on graphical models in computer vision. In IEEE Trans. Pattern Analysis and Machine Intelligence, (25) 7: 785-786, Year 2003.
Face Tracking and Recognition with Visual Constrains. DCS-TR-623: Year 2007.
A Generative Model for Depth-based Robust 3D Facial Pose Tracking. IEEE Int'l Conf. Computer Vision and Pattern Recognition. Year 2017.
Multimodal speaker detection using error feedback DBNs. IEEE Conf. Computer Vision and Pattern Recognition. Hilton Head Island, SC, Year 2000.
A Bayesian framework for combining gene predictions,. In Bioinformatics, (18) 1: 19-27, Year 2002.
Discriminative Learning of Dynamical Systems for Motion Tracking. IEEE Conf. Computer Vision and Pattern Recognition. Year 2007.
Using 3D Face Priors for Depth Recovery. In J. Visual Commun. Image Represent., Year 2017.
Filling in the Blanks: Reconstructing Microscopic Crowd Motion from Multiple Disparate Noisy Sensors. 2016 IEEE Winter Applications of Computer Vision Workshops, WACV 2016 Workshops. 1--9, Year 2016.
Enhancement of Hopfield neural networks using stochatic noise processes. Neural Networks for Signal Processing XI, Proc. IEEE Signal Processing Society Workshop. Year 2001.
Embedded profile hidden Markov models for shape analysis. DCS-TR6xx: Year 2006.
Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes. arXiv. Year 2015.
Spatio-temporal Context Modeling for BoW-Based Video Classification. Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on. 779-786, Year 2013.
Personalized Modeling of Facial Action Unit Intensity. Advances in Visual Computing - 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II. 269-281, Year 2014.
Embedded Profile Hidden Markov Models for Shape Analysis. In IEEE Trans. Pattern Analysis and Machine Intelligence, Year 2009.
Discovering Clusters in Motion Time-Series Data. IEEE Conf. Computer Vision and Pattern Recognition. Madison, WI, Year 2003.
Generalized Similarity Kernels for Efficient Sequence Classification. Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012.. 873-882, Year 2012.
Variable-state Latent Conditional Random Field Models for Facial Expression Analysis. In Image and Vision Computing, Year 2016.
Variational Learning in Mixed-State Dynamic Graphical Models. Proc. Uncertainty in Artificial Intelligence. Stockholm, Sweeden, Year 1999.
Attribute rating for classification of visual objects. Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012. 1611-1614, Year 2012.
Learning switching linear system models of figure motion from image sequences. Snowbird learning workshop. Snowbird, UT, Year 2000.
Boosting and Structure Learning in Dynamic "Bayesian" Networks for Audio-Visual Speaker Detection. ICPR. Quebec City, Quebec, Year 2002.
Hybrid On-Line 3D Face and Facial Actions Tracking in RGBD Video Sequences. 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014. 4194-4199, Year 2014.
Dynamic Probabilistic CCA for Analysis of Affective Behavior and Fusion of Continuous Annotations. In IEEE Trans. Pattern Anal. Mach. Intell., (36) 7: 1299-1311, Year 2014.
Boosted Bayesian Network Classifiers. GIT-GVU-05-23: Year 2005.
Decentralized Probabilistic Learning For Sensor Networks. IEEE Global Conference on Signal and Information Processing. Year 2016.
Sentiment Flow for Video Interestingness Prediction. Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia. HuEvent '14, 29-34, ACM, New York, NY, USA, Year 2014.
Dynamic Probabilistic CCA for Analysis of Affective Behaviour. Computer Vision - ECCV 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part VII. 98-111, Year 2012.
Sea-Level Estimation using the Riemannian Manifold and a Non-stationary Covariance Function. Proc. Climate Informatics 2015. Year 2015.
Approximate Substructure Matching for Biological Sequence Classification. Machine Learning in Computational Biology Workshop. Year 2008.
A comparative genomic method for computational identification of prokaryotic translation initiation sites. RECOMB. Year 2002.
RankGene: Identification of diagnostic genes based on expression data. In Bioinformatics, (19) 12: 1578-9, Year 2003.
Fusion of audio/visual information for human-computer interaction. Workshop on Perceptual User Interfaces. Banff, Alberta, Year 1997.
Real-Time Algorithms: From Signal Processing to Computer Vision. Real-Time Vision for Human-Computer Interaction. editor(s) B. Kisacanin, V. Pavlovic and Huang, T.S.. 15-40, Springer, Year 2005.
Shape analysis using curvature-based descriptors and profile hidden Markov models. IEEE Int'l Symposium on Biomedical Imaging (ISBI). 1220-1223, Year 2007.
Audio-Visual Speaker Detection using Dynamic Bayesian Networks. Int'l Conference on Automatic Face and Gesture Recognition. Grenoble, France, Year 2001.
Robust tracking of articulated layers. Vision for HCI Workshop. San Diego, CA, Year 2005.
Fast Protein Homology and Fold Detection with Sparse Spatial Sample Kernels. Int'l Conf. Pattern Recognition. Tampa, FL, Year 2008.
Multi-Cue Structure Preserving MRF for Unconstrained Video Segmentation. Int'l Conference on Computer Vision. Year 2015.
Gaussian Process for Noisy Inputs with Ordering Constraints. arXiv. Year 2015.
Outlier rejection in deformable model tracking. IEEE Workshop on Articulated and Nonrigid Motion. Washington, DC, Year 2004.
Integration of speech and gestures for display control. 2nd Advanced Display Federated Laboratory Symposium. College Park, MD, Year 1998.
Cross-species gene identification: evolutionary analysis and architectures. In Computational Genomics, Year 2003.
Prediction of Protein Functions with Gene Ontology and Interspecies Protein Homology Data. In IEEE/ACM Trans. Comput. Biology Bioinform., (8) 3: 775-784, Year 2011.
Impact of dynamic model learning on classification of human motion. IEEE Conf. Computer Vision and Pattern Recognition. Hilton Head Island, SC, Year 2000.
Discriminative Tracking Methods. DCS-TR6xx: Year 2006.
Learning Switching Linear Models of Human Motion. Neural Information Processing Systems. Denver, CO, Year 2000.
Improving Ancient Roman Coin Recognition with Alignment and Spatial Encoding. Computer Vision - ECCV 2014 Workshops - Zurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part I. 149-164, Year 2014.
Gaussian Process Manifold Kernel Dimensionality Reduction. DCS-TR-621: Year 2007.
Conditional Ordinal Random Fields for Structured Ordinal-Valued Label Prediction. In Data Min. Knowl. Discov., Year 2012.
Improved sequence classification using adaptive segmental sequence alignment. Proceedings of the 4th Asian Conference on Machine Learning, ACML 2012, Singapore, Singapore, November 4-6, 2012. 379-394, Year 2012.
Boosted Bayesian network classifiers. In Machine Learning Journal, (73) 2: Year 2008.
Multimodal speaker detection using boosted dynamic Bayesian networks. 1.Int'l Conf. Information Fusion. 550-556, Year 2002.
PUnDA: Probabilistic Unsupervised Domain Adaptation. Proc. IEEE International Conference Computer Vision. Year 2017.
A Graphical Model Framework for Image Segmentation. Applied Graph Theory in Computer Vision and Pattern Recognition. editor(s) Kandel, Abraham and Bunke, Horst and Last, Mark. Studies in Computational Intelligence, (52) 43-64, Springer, Year 2007.
Transform image coding based on joint adaptation of filer banks, tree structures and quantizers. DCC. Salt Lake City, UT, Year 1997.
Spatially-constrained sample kernel for sequence classification. Year 2008.
Tracking and classification of audio/visual features. IEEE Int'l Conf. Image Processing. Chicago, IL, Year 1998.
Time Series Classification Using Mixed-State Dynamic Bayesian Networks. IEEE Conf. Computer Vision and Pattern Recognition. Ft. Collins, CO, Year 1999.
Speech-driven 3D Facial Animation with Implicit Emotional Awareness: A Deep Learning Approach. IEEE Int'l Conf. Computer Vision and Pattern Recognition - Workshop on Deep Affective Learning and Context Modeling. Year 2017.
Bayesian Networks as Ensemble of Classifiers. ICPR. Quebec City, Quebec, Year 2002.
Hidden Conditional Ordinal Random Fields for Sequence Classification. ECML/PKDD. (2) 51-65, Year 2010.
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment. In Knowledge and Information Systems, Year 2014.
Copula Ordinal Regression for Joint Intensity Estimation of Facial Action Units. Proc. of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR'W 2016). Las Vegas, NV, Year 2016.
Intrinsic Non-stationary Covariance Function for Climate Modeling. arXiv. Year 2015.
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. 1582--158, Phoenix, Arizona, USA., Year 2016.
On the role of local matching for efficient semi-supervised protein sequence classification. IEEE Int'l Conf. Bioinformatics and Biomedicine (BIBM). Philadelphia, PA, Year 2008.
Structured Learning for Multiple Object Tracking. British Machine Vision Conference, BMVC 2012, Surrey, UK, September 3-7, 2012. 1-12, Year 2012.
A New Adaptive Segmental Matching Measure for Human Activity Recognition. IEEE International Conference on Computer Vision, ICCV 2013, Sydney, Australia, December 1-8, 2013. 3583-3590, Year 2013.
Gestural interface to a visual computing environment for molecular biologists. 2nd International. Conference on Automatic Face and Gesture Recognition. Killington, VT, Year 1996.
Speech / gesture interface to a visual computing environment for molecular biologists. International Conference on Pattern Recognition. Vienna, Austria, Year 1996.
Kernel Conditional Ordinal Random Fields for Temporal Segmentation of Facial Action Units. Computer Vision - ECCV 2012. Workshops and Demonstrations - Florence, Italy, October 7-13, 2012, Proceedings, Part II. 260-269, Year 2012.
Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis. DCS-TR6xx: Year 2006.
Graphical Models for Human Motion Modeling. Human Motion - Understanding, Modeling, Capture and Animation. editor(s) D. Metaxas, R. Klette and Rosenhahn, B.. Springer, Year 2007.
Multi-output Laplacian dynamic ordinal regression for facial expression recognition and intensity estimation. 2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012. 2634-2641, Year 2012.
Visual inference using Gaussian process manifold kernel dimensionality reduction. IEEE Int'l Workshop Machine Learning in Signal Processing. Cancun, Mexico, Year 2008.
Multimodal speaker detection using boosted dynamic Bayesian networks. Snowbird Learning workshop. Snowbird, UT, Year 2001.
Spatial Representation for Efficient Sequence Classification. 20th International Conference on Pattern Recognition, ICPR 2010. 3320-3323, Istanbul, Turkey, Year 2010.
Sequence classification via large margin hidden Markov models. In Data Min. Knowl. Discov., (23) 2: 322-344, Year 2011.
Learning Hypergraph Labeling for Feature Matching. In CoRR, (abs/1107.2553) Year 2011.
Robust Real-Time 3D Face Tracking from RGBD Videos under Extreme Pose, Depth, and Expression Variations. Proc. Intl. Conf. on 3D Vision (3DV). Stanford University, CA, Year 2016.
Social Signal Processing. editor(s) Vinciarelli, Alessandro and Burgoon, Judee and Magnenat-Thalmann, Nadia and Pantic, Maja. Cambridge University Press, Year 2014.
Face Tracking and Recognition with Visual Constraints in Real-World Videos. IEEE Conf. Computer Vision and Pattern Recognition. Anchorage, AK, Year 2008.
Model-based motion clustering using boosted mixture modeling. Proc. CVPR. Washington, DC, Year 2004.
Hand gesture modeling, analysis, and synthesis. Int'l Workshop on Automatic Face and Gesture Recognition. Zurich, Switzerland, Year 1995.
Distributed Probabilistic Learning for Camera Networks. DCS-TR-696: Year 2012.
Discriminative Learning for Dynamic State Prediction. In IEEE Trans. Pattern Analysis and Machine Intelligence, (31) 10: 1847-1861, Year 2009.
A Recursive Method for Discriminative Mixture Learning. Int'l Conf. Machine Learning (ICML). Corvallis, OR, Year 2007.
Fast barcode-based species identification using string kernels. 2nd International Barcode of Life Conference. Taipei, Taiwan, Year 2007.
Multimodal Tracking and Classification of Audio-Visual Features. AAAI Workshop on Representations for Multi-modal Human-Computer Interaction. Madison, WI, Year 1998.
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence. 753--759, Phoenix, Arizona, USA., Year 2016.
Dimensionality Reduction using Covariance Operator Inverse Regression. IEEE Conf. Computer Vision and Pattern Recognition. Anchorage, AK, Year 2008.
Kernel methods for DNA barcoding. DCS-TR606: Year 2006.
A new spatio-temporal MRF framework for video-based object segmentation. 1st International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA'08), in conjunction wih ECCV 2008. Marseille, France, Year 2008.
Boosted learning in dynamic Bayesian networks for multimodal speaker detection. In Proc. of the IEEE, (91) 9: 1355-1369, Year 2003.
Discovering Characteristic Landmarks on Ancient Coins Using Convolutional Networks. Proc. Intl. Conf. Pattern Recognition (ICPR). Cancun, Mexico, Year 2016.
A Shape Preserving Approach for Salient Object Detection Using Convolutional Neural Networks. Proc. Intl. Conf. Pattern Recognition (ICPR). Cancun, Mexico, Year 2016.
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2010. 128-144, Barcelona, Spain, Year 2010.
Probabilistic Temporal Subspace Clustering. IEEE Int'l Conf. Computer Vision and Pattern Recognition. Year 2017.
A tightly coupled region-shape framework for 3D medical image segmentation. Int'l Symposium Biomedical Imaging. Year 2006.
A visual computing environment for very large scale biomolecular modeling. IEEE International Conference on Application-Specific System, Architectures and Processors. Zurich, Switzerland, Year 1997.
Deep Structured Learning for Facial Expression Intensity Estimation. IEEE Int'l Conf. Computer Vision and Pattern Recognition. Year 2017.
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection. Proc. of IEEE International Conference on Automatic Face and Gesture Recognition. 1-8, Year 2015.
A Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints. Computer Vision for Biomedical Image Application: Current Techniques and Future Trends. Beijing, PRC, Year 2005.
Analysis of Causality in Stock Market Data. 11th International Conference on Machine Learning and Applications, ICMLA, Boca Raton, FL, USA, December 12-15, 2012. Volume 1. 288-293, Year 2012.
Context-Sensitive Conditional Ordinal Random Fields for Facial Action Intensity Estimation. Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on. 492-499, Year 2013.
Efficient Detection of Objects and Attributes Using Boosting. IEEE Conf. Computer Vision and Pattern Recognition. Kauai, HI, Year 2001.
Efficient evaluation of large sequence kernels. The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '12, Beijing, China, August 12-16, 2012. 759-767, Year 2012.
Covariance Kernels and Dimensionality Reduction for Regression. DCS-TR-622: Year 2007.
Fast kernel methods for SVM sequence classifiers. The Workshop on Algorithms in Bioinformatics (WABI). Philadelphia, PA, Year 2007.
Impact of Dynamics on Subspace Embedding and Tracking of Sequences. RU-DCS-TR589: Year 2005.
Automatic Pain Intensity Estimation with Heteroscedastic Conditional Ordinal Random Fields. Advances in Visual Computing - 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part II. 234-243, Year 2013.
Efficient alignment-free DNA barcode analytics. In BMC Bioinformatics, (10) S-14: Year 2009.
Central Subspace Dimensionality Reduction Using Covariance Operators. In IEEE Trans. Pattern Anal. Mach. Intell., (33) 4: 657-670, Year 2011.
Transform image coding based on joint adaptation of filer banks and tree structures. IEEE Int'l Conf. Image Processing. Laussanne, Switzerland, Year 1996.
A hybrid face recognition method using Markov random fields. Int'l Conf. Pattern Recognition. Cambridge, UK, Year 2004.
Structural Learning for Multiple Object Tracking. In Image and Vision Computing, Year 2015.
Fast Motif Selection for Biological Sequences. IEEE Int'l Conf. on Bioinformatics and Biomedicine (BIBM). Washington, DC, Year 2009.
Efficient Discovery of Common Patterns in Sequences. The Learning Workshop. Clearwater Beach, FL, Year 2009.
Protein homology detection with biologically inspired features and interpretable statistical models. In Int. J. Data Min. Bioinformatics, (2) 2: 157-175, Year 2008.
Conditional State Space Models for Discriminative Motion Estimation. IEEE Int'l Conf. Computer Vision. Rio De Janeiro, Brazil, Year 2007.
A Multimodal Human-Computer Interface for the Control of a Virtual Environment. AAAI Workshop on Intelligent Environments. Stanford University, CA, Year 1998.
Relative spatial features for image memorability. ACM Multimedia Conference, MM '13, Barcelona, Spain, October 21-25, 2013. 761-764, Year 2013.
A Shape-based Approach for Saliency Object Detection using Deep Learning. Proc. European Conf. Computer Vision. Year 2016.
Sparse Granger causality graphs for human action classification. Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, November 11-15, 2012. 3374-3377, Year 2012.
Fast Multiple Kernel Learning via Large Margin Parzen Window Estimation. In Pattern Recognition, Year 2009.
Efficient discriminative learning of Bayesian network classifier via Boosted Augmented Naive Bayes. International Conf. Machine Learning. Bonn, Germany, Year 2005.
Fast and Accurate Multi-class Protein Fold Recognition with Spatial Sample Kernels. Computational Systems Bioinformatics: Proceedings of the CSB2008 Conference. 133-143, Stanford, CA, Year 2008.
A dynamic Bayesian network approach to tracking using learned. Int'l Workshop on Hybrid Systems: Computation and Control. Pittsburgh, PA, Year 2000.
Categorization of Underwater Habitats Using Dynamic Video Textures. Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on. 838-843, Year 2013.
Ancient Coin Recognition Based on Spatial Coding. 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014. 321-326, Year 2014.
A Bayesian Framework for Combining Gene Predictions. Computational Genomics. Year 2000.
A graphical model based image segmentation method. Biomedical Engineering Society Annual Conference. Philadelphia, PA, Year 2004.
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape. IEEE Int'l Conf. Image Processing. 2121-4, Atlanta, GA, Year 2006.
Structured output ordinal regression for dynamic facial emotion intensity prediction. Computer Vision - ECCV 2010. editor(s) Daniilidis, Kostas and Maragos, Petros and Paragios, Nikos. Lecture Notes in Computer Science, (6313) 649-662, Springer-Verlag, Berlin, Heidelberg, Year 2010.
Speech/gesture-based human computer interface in virtual environments. Workshop on Integration of Gestures, Speech, and Language. Wilmington, DE, Year 1996.
A Framework for Joint Estimation and Guided Annotation of Facial Action Unit Intensity. Proc. of IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR'W 2016). Las Vegas, NV, Year 2016.
Monocular 3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis. Fifth Canadian Conference on Computer and Robot Vision. Windsor, ON, Year 2008.
Integration of audio/visual information for intelligent human-computer interaction. IEEE Int'l Conf. Image Processing. Santa Barbara, CA, Year 1997.
Protein Classification Using Probabilistic Chain Graphs and the Gene Ontology Structure. RU-DCS-TR587: Year 2005.
Human-mouse gene identification by comparative evidence integration and evolutionary analysis. In Genome Research, (13) 6A: 1190-202, Year 2003.
Sparse Logistic Classifiers for Interpretable Protein Homology Detection. International Workshop on Datamining in Bioinformatics, IEEE Int'l Conf. Datamining (ICDM). 99-103, Hong Kong, Year 2006.
A New Baseline for Image Annotation. European Conf. Computer Vision. Marseille, France, Year 2008.
Depth Recovery with Face Priors. Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV. 336-351, Year 2014.
Integrated framework for adaptive subband image coding. In IEEE Transactions on Signal Processing, (47) 4: 1024 -1038, Year 1999.
A fast, semi-supervised learning method for protein sequence classification. 8th International Workshop on Data Mining in Bioinformatics (BIOKDD 2008). 29-37, Las Vegas, NV, Year 2008.
Context-Sensitive Dynamic Ordinal Regression for Intensity Estimation of Facial Action Units. In IEEE Trans. Pattern Anal. Mach. Intell., (37) 5: 944-958, Year 2015.
Towards multimodal human-computer interface. In Proc. of the IEEE, (86) 5: 853 -869, Year 1998.
An efficient IP approach to constrained multiple face tracking and recognition. IEEE International Conference on Computer Vision Workshops, ICCV 2011 Workshops, Barcelona, Spain, November 6-13, 2011. 852-859, Year 2011.
A graphical model framework for coupling MRFs and deformable models. Proc. CVPR. Washington, DC, Year 2004.
Speech/gesture interface to a visual computing environment for molecular biologists. In IEEE Computer Graphics and Applications, (20) 2: 29 -37, Year 2000.
Covariance Operator Based Dimensionality Reduction with Extension to Semi-Supervised Settings. International Conference on Artificial Intelligence and Statistics (AISTATS). Clearwater Beach, FL, Year 2009.
Sketch-based Face Editing in Video Using Identity Deformation Transfer. Year 2017.
Pose Invariant Activity Classification for Multi-floor Indoor Localization. 22nd International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, August 24-28, 2014. 3505-3510, Year 2014.
Human Interaction with Complex Systems. editor(s) Ntuen, C. A. and Park, E. H.. 53-71, Kluwer Academic Publishers, Year 1996.
Stochastic noise process enhancement of Hopfield neural networks. In IEEE Trans. Circuits and Systems II, (52) 4: 213-217, Year 2005.
Scalable Algorithms for String Kernels with Inexact Matching. Neural Information Processing Systems (NIPS). Vancouver, Canada, Year 2008.
Discriminative Learning of Mixture of Bayesian Network Classifiers for Sequence Classification. IEEE Conf. Computer Vision and Pattern Recognition. 268-275, New York, NY, Year 2006.
Learning improved gene prediction. Snowbird Learning workshop. Snowbird, UT, Year 2001.
A Belief Propagation algorithm for bias field estimation and image segmentation. 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011. 37-40, Year 2011.
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks. arXiv. Year 2015.
A Shape Based Approach for Salient Object Detection Using Convolutional Networks. arXiv. Year 2016.
Kernel methods for DNA barcoding. Year 2007.
Isotonic CCA for sequence alignment and activity recognition. IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011. 2572-2578, Year 2011.
Multi-species comparative gene identification and analysis of predictive accuracy. Gene Finding Workshop at Computational Genomics Conference. Reston, VA, Year 2004.
Embedded Profile Hidden Markov Models for Shape Analysis. IEEE Int'l Conf. Computer Vision. Rio De Janeiro, Brazil, Year 2007.
Distributed Probabilistic Learning for Camera Networks with Missing Data. Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.. 2933-2941, Year 2012.
Protein homology detection using sparse profile hidden Markov models. Int'l Conf. Intelligent Systems for Molecular Biology (ISMB). Detroit, MI, Year 2005.
Reinforcement Learning for Robust and Efficient Real-World Tracking. Pattern Recognition (ICPR), 2010 20th International Conference on. 2989-2992, Year 2010.
Impact of Dynamics on Subspace Embedding and Tracking of Sequences. IEEE Conf. Computer Vision and Pattern Recognition. 198-205, Year 2006.

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