2004:

Ezzat, T., G. Geiger and T. Poggio. Trainable Videoreaslistic Speech Animation. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR2004, Seoul, Korea), 57-64, 2004.

Heisele, B. and T. Koshizen. Components for Face Recognition. In: Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 153-158, 2004.

Ivanov, I., B. Heisele and T. Serre. Using Component Features for Face Recognition. In: Proceedings of the 6th International Conference on Automatic Face and Gesture Recognition, Seoul, Korea, 421-426, 2004.

Kreiman, G., I. Fried and C. Koch. Responses of Single Neurons in the Human Brain during Flash Suppression. In: Binocular Rivalry and Perceptual Ambiguity, (Eds.) R. Blake and D. Alais, MIT Press, Cambridge, MA, Chapter 12, 2005, to appear.

Shimizu, H. and T. Poggio. Direction Estimation of Pedestrian from Multiple Still Images. In: IEEE Intelligent Vehicles Symposium 2004, Parma, Italy, June 14-17, 2004.

Weyrauch, B., J. Huang, B. Heisele and V. Blanz. Face Processing in Video. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), IEEE Computer Society Press, Washington, DC, 2004, in press.

Yokono, J.J. and T. Poggio. Oriented Filters for Object Recognition: An Empirical Study. In: Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR2004, Seoul, Korea), 755-760, 2004.

2003:

Bileschi, S.M. and B. Heisele. Advances in Component Based Face Detection. In: Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003, Nice France), 149-156, 2003.

Blanz, V., C. Basso, T. Poggio and T. Vetter. Reanimating Faces in Images and Video. In: Proceedings of Eurographics, (Eds. P. Brunet and D. Fellner), Granada, Spain, Vol. 22, No. 3, 2003.

Dror, R.O., J.G. Murnick, N.A. Rinaldi, V.D. Marinescu, R.M. Rifkin and R.A. Young. Bayesian Approach to Transcript Estimation from Gene Array Data: The BEAM Technique. In: Proceedings of the Sixth Annual International Conference on Research in Computational Molecular Biology, Washington, D.C., April 2002, in press.

Mukherjee, S. Classifying Microarray Data Using Support Vector Machines. In: A Practical Approach to Microarray Data Analysis, D.P. Berrar, W. Dubitzky and M. Granzow (Eds.), Kluwer Academic Publishers, Boston, MA, Chapter 9, 166-185, 2003.

Riesenhuber, M. and T. Poggio. How Visual Cortex Recognizes Objects: The Tale of the Standard Model. In: The Visual Neurosciences, (Eds. L.M. Chalupa and J.S. Werner), MIT Press, Cambridge, MA, Vol. 2, 1640-1653, 2003.

Rifkin, R., G. Yeo and T. Poggio. Regularized Least Squares Classification. In: Advances in Learning Theory: Methods, Model and Applications, NATO Science Series III: Computer and Systems Sciences, VIOS Press, Amsterdam, (Eds.) Suykens, Horvath, Basu, Micchelli and Vandewalle, Vol. 190, Chapter 7, 131-154, 2003.

Su, A.I., T. Wiltshire, S. Batalov, H. Lapp, K.A. Ching, D. Block, J. Zhang, R. Soden, M. Hayakawa, G. Kreiman, M.P. Cooke, J.R. Walker and J.B. Hogenesc. A Gene Atlas of the Mouse and Human Protein-Encoding Transcriptomes." In: Proceedings of the National Academy of Sciences USA, 101, 6062-6067, 2004.

Yeo, G. and C. Burge. Maximum Entropy Modeling of Short Sequence Motifs with Applications to RNA Splicing Signals. In: Proceedings of the Seventh Annual International Conference on Research in Computational Molecular Biology, Berlin, Germany, April 10-13, 2003.

2002:

Bileschi, S.M. and B. Heisele. Advances in Component-based Face Detection. In: Proceedings of Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, S.-W. Lee and A. Verri (eds.), Lecture Notes in Computer Science, Springer LNCS 2388, 135-143, 2002.

Bülthoff, H.H., S.-W. Lee, T. Poggio and C. Wallraven (Eds.), Biologically Motivated Computer Vision, Proceedings of Second International Workshop, BMCV 2002, Tübingen, Germany, November 22-24, 2002, Vol. 2525 of Lecture Notes in Computer Science, Springer, New York, 2002.

Evgeniou, T., M. Pontil, C. Papageorgiou and T. Poggio. Image Representations and Feature Selection for Multimedia Database Search. In: IEEE Transactions in Knowledge and Data Engineering, May 2002, to appear.

Ezzat, T., G. Geiger and T. Poggio. Trainable Videorealistic Speech Animation. In: Proceedings of ACM SIGGRAPH 2002, San Antonio, TX, 388-398, 2002.

Fahle, M. and T. Poggio (Eds.). Perceptual Learning, MIT Press, Cambridge, MA, 2002.

Heisele, B., T. Serre, M. Pontil, T. Vetter and T. Poggio. Categorization by Learning and Combining Object Parts. In: Advances in Neural Information Processing Systems 14, Vancouver, Canada, Vol. 2, 1239-1245, 2002.

Heisele, B., A. Verri and T. Poggio. Learning and Vision Machines. In: Proceedings of the IEEE, Visual Perception: Technology and Tools, Vol. 90, No. 7, 1164-1177, 2002.

Huang, J., V. Blanz and B. Heisele. Face Recognition Using Component-Based SVM Classification and Morphable Models. In: Proceedings of Pattern Recognition with Support Vector Machines, First International Workshop, SVM 2002, Niagara Falls, Canada, S.-W. Lee and A. Verri (eds.), Lecture Notes in Computer Science, Springer 2388, 334-341, 2002.

Knoblich, U., M. Riesenhuber, D.J. Freedman, E.K. Miller and T. Poggio. Visual Categorization: How the Monkey Brain Does It. In: Biologically Motivated Computer Vision, Second International Workshop (BMCV 2002), Tübingen, Germany, 273-281, 2002.

Mukherjee, S., R. Rifkin and T. Poggio. Regression and Classification with Regularization. In: Lectures Notes in Statistics: Nonlinear Estimation and Classification, Proceedings from MSRI Workshop, D.D. Denison, M.H. Hansen, C.C. Holmes, B. Mallick and B. Yu (eds.), Springer-Verlag, 171, 107-124, 2002.

Rakhlin, A., G. Yeo and T. Poggio. Extra-label Information: Experiments with View-based Classification. In: Proceedings of the Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES'2002), Podere d'Ombriano, Crema, Italy, September 16-18, 2002.

Sadr, J., S. Mukherjee, K. Thoresz, and P. Sinha. "The Fidelity of Local Ordinal Encodings." In: Advances in Neural Information Processing Systems, (Eds.) T. Dietterich, S. Becker and Z. Ghahramani; MIT Press, 2002.

Serre, T., M. Riesenhuber, J. Louie, and T. Poggio. On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision. In: Biologically Motivated Computer Vision, Second International Workshop (BMCV 2002), Tübingen, Germany, 387-397, 2002.

Sinha, P. "Identifying Perceptually Significant Features for Recognizing Faces." In: Proceedings of the SPIE Electronic Imaging 2002 Symposium - Electronic Imaging Systems and Image Processing Methods, Human Vision and Electronics Imaging VII, San Jose, CA, January 21-24, 2002.

Sinha, P. "Qualitative Representations for Recognition." In: Lecture Notes in Computer Science, Springer-Verlag, LNCS 2525, 249-262, 2002.

Sinha, P. and T. Poggio. "High-level Learning of Early Perceptual Tasks." In: Perceptual Learning, (ed. Manfred Fahle), MIT Press, Cambridge, MA, 2002.

Walther, D., L. Itti, M. Riesenhuber, T. Poggio, and C. Koch. Attentional Selection for Object Recognition – A Gentle Way. In: Biologically Motivated Computer Vision, Second International Workshop (BMCV 2002), Tübingen, Germany, 472-479, 2002.

Poggio, T., S. Mukherjee, R. Rifkin, A. Rakhlin and A. Verri. B. In: Uncertainty in Geometric Computations, J. Winkler and M. Niranjan (eds.), Kluwer Academic Publishers, 131-141, 2002.

Weinstein, E., P. Ho, B. Heisele, T. Poggio, K. Steele and A. Agarwal. Handheld Face Identification Technology in a Pervasive Computing Environment. In: Proceedings of Pervasive 2002, Zurich, Switzerland, August 26-28, 48-54, 2002.

2001:

Cauwenberghs, G. and T. Poggio. Incremental and Decremental Support Vector Machine Learning. In: Advances in Neural Information Processing Systems (NIPS*2000), MIT Press, Vol. 13, 409-415, Cambridge, MA, 2001.

Evgeniou, T. and M. Pontil. A Note on the Generalization Performance of Kernel Classifiers with Margin. In: Proceedings of Algorithmic Learning Theory 2000 Conference, Lecture Notes in Artificial Intelligence, Sydney, Australia (December 11-13, 2000), Vol. 1968, 306-315, 2001.

Heisele, B., P. Ho and T. Poggio. Face Recognition with Support Vector Machines: Global Versus Component-based Approach, International Conference on Computer Vision (ICCV'01), Vancouver, Canada, Vol. 2, 688-694, 2001.

Heisele, B., T. Serre, M. Pontil and T. Poggio. Component-based Face Detection. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), IEEE Computer Society Press, Kauai, Hawaii, Vol. 1, 657-662, December 2001.

Heisele, B., T. Serre, S. Mukherjee and T. Poggio. Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. In: Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), IEEE Computer Society Press, Kauai, Hawaii, Vol. 2, 18-24, December 2001.

Papageorgiou, C., F. Girosi and T. Poggio. "Sparse Correlation Kernel Reconstruction and Superresolution." In: Probabilistic Models of the Brain - Perception and Neural Function, Rajesh Rao, Bruno Olshausen and Michael Lewicki (eds.), Cambridge, MA, The MIT Press, pp. 155-177, 2002.

Peshkin, L. and S. Mukherjee. Bounds on Sample Size for Policy Evaluation in Markov Environments. In: Proceedings of COLT 2001: The Fourteenth Annual Conference on Computational Learning Theory 2001, Amsterdam, Netherlands (July 16-19, 2001), to appear.

Shelton, C. Balancing Multiple Sources of Reward in Reinforcement Learning. In: Advances in Neural Information Processing Systems (NIPS), 1082-1088, 2001.

Torralba, A. and P. Sinha. "Contextual Priming for Object Recognition." In: Proceedings of the IEEE International Conference on Computer Vision, Vancouver, Canada, 2001.

Vaina, L.M., J. Solomon, S. Chowdry, P. Sinha, J.W. Belliveau, and C.G. Gross. "Functional Neuroanatomy of Biological Motion Perception in Humans." In: Proceedings of the National Academy of Sciences, 98, 11656-11661, 2001.

Weston, J., S. Mukherjee, O. Chapelle, M. Pontil, T. Poggio and V. Vapnik. Feature Selection for SVMs. In: Advances in Neural Information Processing Systems (NIPS), 13, 668-674, 2001.

Yeang, C.-H., S. Ramaswamy, P. Tamayo, S. Mukherjee, R.M. Rifkin, M. Angelo, M. Reich, E. Lander, J. Mesirov, and T. Golub. Molecular Classification of Multiple Tumor Types. In: Intelligent Systems in Molecular Biology - Bioinformatics Discovery Note, Proceedings of the Ninth International Conference on Intelligent Systems in Molecular Biology, Copenhagen, Denmark, (July 21-25, 2001), Vol. 1, No. 1, S316-S322, 2001.

2000:

Evgeniou, T., L. Perez-Breva, M. Pontil, and T. Poggio. Bounds on the Generalization Performance of Kernel Machine Ensembles. In: Proceedings of Seventeenth International Conference on Machine Learning, Stanford University, June 29-July 2, 2000, (to appear).

Ezzat, T. and T. Poggio. Visual Speech Synthesis by Morphing Visemes. In: NTT R&D, 49, 7, 372-375, 2000.

Giese, M.A. Neural Model for the Recognition of Biological Motion. In: Dynamische Perzeption, G. Baratoff and H. Neumann (eds.), Infix Verlag, Berlin, 105-110, 2000.

Giese, M.A. and T. Poggio Quantification and Classification of Locomotion Patterns by Spatio-temporal Morphable Models. In: Third IEEE Workshop on Visual Surveillance, Dublin, Ireland, July 1, 2000.

Giese, M.A. Neural Field Model for the Recognition of Biological Motion Patterns. In: Second International ICSC Symposium on Neural Computation, Berlin, Germany, May 23-26, 2000.

Kumar, V. and T. Poggio. Learning-based Approach to Real Time Tracking and Analysis of Faces. In: Proceedings of the Fourth International Conference on Face and Gesture Recognition, Grenoble, France, 91-96, March, 2000.

Lee, S-W., H.H. Buelthoff and T. Poggio (eds.), Biologically Motivated Computer Vision, First IEEE International Workshop, BMCV 2000, Seoul, Korea, May 2000.

Nakajima, C., I. Norihiko, M. Pontil and T. Poggio. Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. In: Proceedings of International Conference on Pattern Recognition, Barcelona, Spain, September 2000.

Nakajima, C., M. Pontil and T. Poggio. People Recognition and Pose Estimation in Image Sequences. In: Proceedings of IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, July 2000.

Pontil, M., S. Mukherjee, and F. Girosi. On the Noise Model of Support Vector Machine Regression. In: Proceedings of Algorithmic Learning Theory 2000 Conference, Sydney, Australia, December 11-13, 2000, (to appear).

Riesenhuber, M. and T. Poggio. "CBF: A New Framework for Object Categorization in Cortex." In: Biologically Motivated Computer Vision, Lee, S-W., H.H. Buelthoff and T. Poggio (eds.), First IEEE International Workshop, BMCV 2000, Seoul, Korea, May 2000.

Sinha, P. and T. Poggio. "High-level Learning of Early Perceptual Tasks." In: Perceptual Learning, (Ed). Manfred Fahle, MIT Press, Cambridge, MA, 2000 (to appear).

1999:

Bizzi, E. and F.A. Mussa-Ivaldi. "Toward a Neurobiology of Coordinate Transformations." In: Cognitive Neuroscience, MIT Press, 2000.

Dinse, H.R., Jancke, D., Akhavan, A.C., Kalt, T., Giese, M.A. and Schöner, G. "Dynamic Population Representations of the Visual and Somatosensory Cortex." In: Proceedings of the International Conference on Neural Information Processing 96, S. Amari, L. Xu, L. Chan, I. King, K. Leung (eds.), Springer, NY, 1285-1290, 1999.

Giese, M.A. Dynamic Neural Field Theory of Motion Perception, Kluwer Academic Publishers, Dordrecht, Netherlands, 1999.

Giese, M.A., and T. Poggio. Synthesis and Recognition of Biological Motion Patterns Based on Linear Superposition of Prototypical Motion Sequences. In: Proceedings of the IEEE Workshop on Multi-View Modeling and Analysis of Visual Scene, Fort Collins, CO, 73-80, 1999.

Jaakkola, T., and M.I. Jordan. "Variational Methods and the QMR-DT Database." In: Neural Networks and Machine Learning, C. M. Bishop (Ed.), Berlin: Springer-Verlag, 1999.

Jordan, M. I. (Ed.). Learning in Graphical Models, Cambridge, MA, MIT Press, 1999.

Jordan, M. I., and D. M. Wolpert. "Computational Motor Control." In: The Cognitive Neurosciences, 2nd edition, M. Gazzaniga (Ed.), Cambridge, MA, MIT Press, 1999.

Papageorgiou, C. and T. Poggio. Trainable Pedestrian Detection. In: Proceedings of International Conference on Image Processing (ICIP'99), Kobe, Japan, October 1999.

Papageorgiou, C. and T. Poggio. A Pattern Classification Approach to Dynamical Object Detection, International Conference on Computer Vision (ICCV'99), Corfu, Greece, 1223-1228, September 1999.

Papageorgiou, C., F. Girosi and T. Poggio. Sparse Correlation Kernel Reconstruction. In: Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Phoenix, AZ, 1633-1636, March 1999.

1998:

Bishop, C. M., N. Lawrence, T.S. Jaakkola and M.I. Jordan. "Approximating Posterior Distributions in Belief Networks using Mixtures." In: Advances in Neural Information Processing Systems 10, Jordan, M. I., Kearns, M. J. and Solla, S. A. (Eds.), Cambridge MA: MIT Press, 1998.

Ezzat, T. and T. Poggio. MikeTalk: A Talking Facial Display Based on Morphing Visemes. In: Proceedings of the Computer Animation Conference, Philadelphia, PA, 96-102, June 1998.

Giese, M.A. "Dynamic Neural Field Model Links Neural and Computational Theories of Motion Perception." In: Workshop Dynamische Perzeption, Infix Verlag, H. Ritter and S. Posch (eds.), St. Augustin, Germany, 1998.

Houde, J. and M.I. Jordan. "Adaptation in Speech Motor Control." In: Advances in Neural Information Processing Systems 10, Jordan, M. I., Kearns, M. J. and Solla, S. A. (Eds.), Cambridge MA: MIT Press, 1998.

Jaakkola, T. S., and M.I. Jordan. "Improving the Mean Field Approximation Via the Use of Mixture Distributions." In: Learning in Graphical Models, M. I. Jordan (ed.), Cambridge, MIT Press, 1998.

Jones, M. and T. Poggio. Hierarchical Morphable Models. In: Proceedings of Computer Vision and Pattern Recognition, Santa Barbara, 820-826, June 23-25, 1998.

Jones, M. and T. Poggio. Multidimensional Morphable Models. Proceedings of the Sixth International Conference on Computer Vision, Bombay, India, 683-688, January 4-7, 1998.

Jordan, M. I., Z. Ghahramani, T.S. Jaakkola and L.K. Saul. "An Introduction to Variational Methods for Graphical Models." In: Learning in Graphical Models, M. I. Jordan (Ed.), Cambridge, MIT Press, 1998.

Jordan, M. I., Kearns, M. J. and Solla, S. A. (eds.). In: Advances in Neural Information Processing Systems 10, Cambridge MA, MIT Press, 1998.

Lawrence, N. D., C.M. Bishop, M.I. Jordan and T.S. Jaakkola. "Mixture representations for Inference and Learning in Boltzmann Machines." In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, G. F. Cooper and S. Moral (Eds.), San Mateo, CA, Morgan Kaufmann, 1998.

Meila, M. and M.I. Jordan. "Estimating Dependency Structure as a Hidden Variable." In: Advances in Neural Information Processing Systems 10, Jordan, M. I., Kearns, M. J. and Solla, S. A. (Eds.), Cambridge MA: MIT Press, 1998.

Niyogi, P., T. Poggio, and F. Girosi. Incorporating Prior Information in Machine Learning by Creating Virtual Examples. In: IEEE Proceedings on Intelligent Signal Processing, Vol. 86, No 11, 2196-2209, 1998.

Papageorgiou, C. Mixed Memory Markov Models for Time Series Analysis. In: Proceedings of Computational Intelligence for Financial Engineering, New York, 165-170, March 1998.

Papageorgiou, C., T. Evgeniou, and T. Poggio. A Trainable Pedestrian Detection System. In: Proceedings of Intelligent Vehicles, Stuttgart, Germany, 241-246, 1998.

Papageorgiou, C., M. Oren, and T. Poggio. A General Framework for Object Detection. Proceedings of the Sixth International Conference on Computer Vision (ICCV'98), Bombay, India, 555-562, January 1998.

Pontil, M. and A. Verri. Object Recognition with Support Vector Machines. In: IEEE Trans. Pattern Anal. Mach. Intell., Vol. 20, 637-646, 1998.

Riesenhuber, M. and T. Poggio. Just One View: Invariances in Inferotemporal Cell Tuning. In: Advances in Neural Information Processing Systems, MIT Press, 10, 215-221, 1998.

Saul, L. K., and M. Jordan. "A Mean field Learning Algorithm for Unsupervised Neural Networks." In: Learning in Graphical Models, M. I. Jordan (Ed.), Cambridge: MIT Press, 1998.

Yang, W. and A. Lipman. "VLSI Hardware for Example-based Learning." In: Proceedings of 1998 Image Understanding Workshop, November 1998.

1997:

Avidan, S., T. Evgeniou, A. Shashua and T. Poggio. "Image-Based View Synthesis by Combining Trilinear Tensors and Learning Techniques." In: Proceedings of the ACM Virtual Reality Software Technology Conference (VRST ’97), September 1997.

Bauer, H.U., M. Riesenhuber and T. Geisel. "Calculating Conditions for the Emergence of Structure in Self-Organizing Maps." In: Computation in Neural Systems (CNS*96), Plenum, 247-252, 1997.

Bauer, H.U., M. Riesenhuber, D. Brockmann and T. Geisel. "Analysis of SOM-based Models for the Development of Visual Maps." In: Proceedings of WSOM'97, 233-238, 1997.

Bobick, A., A. Pentland and T. Poggio. "VSAM at the MIT Media Laboratory and CBCL: Learning and Understanding Action in Video Imagery." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 25-29, May 1997.

Bricolo, E., T. Poggio, and N. Logothetis. "3D Object Recognition: A Model of View-Tuned Neuron." In: Advances in Neural Information Processing Systems 9, M.I. Jordan, M.C. Mozer and T. Petsche (eds.), M.I.T. Press, Cambridge, MA, 41-47, 1997.

Brooks, R., E. Grimson, T. Poggio, C. Koch, C. Sodini, L. Stein, and W. Yang. "A Trainable Modular Vision System." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 1307-1313, 1997.

Bugeja, A. and W. Yang. "A Coarse-grained, Reconfigurable Image Coprocessor." In: Proceedings of 1997 Image Understanding Workshop, 1391-1397, June 1997.

Bugeja, A. and W. Yang. "A Reconfigurable VLSI Co-processing System for the Block Matching Algorithm." In: IEEE Transactions on VLSI Systems, Vol 5, No 3, 329-337, September 1997.

Cohn, D., Z. Ghahramani and M.I. Jordan. "Active Learning with Statistical Models." In: Multiple Model Approaches to Modeling and Control, Murray-Smith, R., and Johansen, T. A. (Eds.), London: Taylor and Francis, 1997.

Ezzat, T. and T. Poggio. Videorealistic Talking Faces: A Morphing Approach. In: Proceedings of the Audiovisual Speech Production Workshop, Rhodes, Greece, September 1997, in press.

Finn, P., Kavraki, L., Latombe, J.C., Motwani, R., Shelton, C., Venkatasubramanian, S. and Yao, A. RAPID: Randomized Pharmacophore Identification for Drug Design. In: Proceedings of the 13th ACM Symposium on Computational Geometry, Nice, 324-333, 1997.

Ghahramani, Z. and M.I. Jordan. "Mixture Models for Learning from Incomplete Data." In: Computational Learning Theory and Natural Learning Systems, Greiner, R., Petsche, T., and Hanson, S. J. (Eds.), Cambridge, MA: MIT Press, 1997.

Ghahramani, Z., Wolpert, D. M., and M.I. Jordan. "Computational Models of Sensorimotor Organization." In: Self-Organization Computational Maps and Motor Control, P. Morasso and V. Sanguineti (Eds.), Amsterdam: North-Holland, 1997.

Grimson, E., P. Viola, O. Faugeras, T. Lorenzo-Perez, T. Poggio, S. Teller. "A Forest of Sensors." In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 45-50, 1997.

Halperin, D. and Shelton, C.R. "A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling." In: Proceedings of the 13th ACM Symposium on Computational Geometry, Nice, 183-192, 1997.

Jaakkola, T., and M.I. Jordan. "Bayesian Logistic Regression: A Variational Approach." In: Proceedings of the 1997 Conference on Artificial Intelligence and Statistics, D. Madigan and P. Smyth (Eds.), Ft. Lauderdale, FL, 1997.

Jaakkola, T., and M.I. Jordan. "Recursive Algorithms for Approximating Probabilities in Graphical Models." In: Advances in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.), Cambridge MA, MIT Press, 1997.

Jones, M. and T. Poggio. Model-Based Matching by Linear Combinations of Prototype. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 1357-1365, 1997.

Jordan, M. I., Z. Ghahramani and L.K. Saul. "Hidden Markov Decision Trees." In: Advances In: Neural Information Processing Systems 9. M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.), Cambridge MA, MIT Press, 1997.

Lipman, A. and W. Yang. "Hardware for Content-Based Image Queries." In: Proceedings of 1997 Image Understanding Workshop, 1385-1390, June 1997.

Lipman, A. and W. Yang. "VLSI Hardware for Example-Based Learning." In: IEEE Transactions on VLSI Systems, Vol 5, No 3, 320-328, September 1997.

Lipson, P., E. Grimson and P. Sinha. "Configuration-Based Scene Classification and Image Indexing." In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 1007-1013, 1997.

Meila, M., and M.I. Jordan. "An Objective Function for Belief net Triangulation." In: Proceedings of the 1997 Conference on Artificial Intelligence and Statistics, D. Madigan and P. Smyth (Eds.), Ft. Lauderdale, FL, 1997.

Meila, M., and M.I. Jordan. "Markov Mixtures of Experts." In: Multiple Model Approaches to Modeling and Control, Murray-Smith, R., and Johansen, T. A. (Eds.), London: Taylor and Francis, 1997.

Meila, M., and M.I. Jordan. "Optimal Triangulation with Continuous Cost Functions." In: Advances In: Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.), Cambridge MA: MIT Press, 1997.

Mozer, M. C., Jordan, M. I., and Petsche, T. (Eds.). Advances in Neural Information Processing Systems 9, Cambridge MA: MIT Press, 1997.

Mukherjee, S., E. Osuna, and F. Girosi. Nonlinear Prediction of Chaotic Time Series using a Support Vector Machine. In: IEEE Neural Network for Signal Processing (NNSP'97), Amelia Island, FL, September 1997.

Mussa-Ivaldi, F.A. and Bizzi, E. "Learning Newtonian Mechanics." In Self-Organization, Computational Maps and Motor Control, : P. Morasso and V. Sanguineti (Eds.), Elsevier, Amsterdam, 1997, in press.

Oren, M., C. Papageorgiou, P. Sinha, E. Osuna, and T. Poggio. A Trainable System for People Detection. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, 207-214, May 1997.

Oren, M., C. Papageorgiou, P. Sinha, E. Osuna and T. Poggio. Pedestrian Detection Using Wavelet Templates. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 193-199, June 1997.

Osuna, E., R. Freund, and F. Girosi. Improved Training Algorithm for Support Vector Machines. In: IEEE Neural Network for Signal Processing (NNSP'97), Amelia Island, FL, September 1997.

Osuna, E., R. Freund and F. Girosi. Training Support Vector Machines: An Application to Face Detection. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 130-136, June 1997.

Papageorgiou, C. High Frequency Time Series Analysis and Prediction Using Markov Models. In: Proceedings of Computational Intelligence in Financial Engineering, New York, 182-188, March 1997.

Poggio, T. "Networks that Learn and How the Brain Works." In: Proceedings of Symposia in Pure Mathematics (PSPUM), D. Jerison, I.M. Singer and D.W. Stroock (eds.), American Mathematical Society, Vol. 60, p. 273-312, 1997.

Poggio, T. and P. Sinha. "Image Representations for Graphics and Recognition." In: Proceedings of the IS&T/SPIE Symposium on Electronic Imaging Science and Technology, San Jose, CA, February 1997.

Riesenhuber, M. and P. Dayan. Neural Models for Part-Whole Hierarchies. In: Advances in Neural Information Processing, MIT Press, 9, 17-23, 1997.

Riesenhuber, M. and T. Poggio. "Common Computational Strategies in Machine and Biological Vision." In: Proceedings of International Symposium on System Life, Tokyo, Japan, 67-75, 1997.

Riesenhuber, M., H.U. Bauer and T. Geisel. On-center and Off-center Cell Competition Generates Oriented Receptive Fields from Non-oriented Stimuli in Kohonen's Self-organizing Map. In: Computation in Neural Systems (CNS*96), Plenum, 471-476, 1997.

Saul, L. K., and M.I. Jordan. "Mixed Memory Markov Models." In: Proceedings of the 1997 Conference on Artificial Intelligence and Statistics, D. Madigan and P. Smyth (Eds.), Ft. Lauderdale, FL, 1997.

Saul, L. K., and M.I. Jordan. "A Variational Principle for Model-based Interpolation." In: Advances in Neural Information Processing Systems 9. M. C. Mozer, M. I. Jordan, and T. Petsche (Eds.), Cambridge MA: MIT Press, 1997.

Vetter, T. "Automated Face Morphing and Image Based Modeling of Faces." In: Proceedings of Imagina'97, INA Monaco, 131-138, 1997.

Vetter, T. "Recognizing Faces from a New Viewpoint." In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP97), Vol. 1, 139-144, 1997.

Vetter, T. and T. Poggio. "Linear Object Classes and Image Synthesis from a Single Example Image." In: Proceedings of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 19:7, 733-742, 1997.

Vetter, T., M. Jones and T. Poggio. A Bootstrapping Algorithm for Learning Linear Models of Object Classes. In: Proceedings of the 1997 Image Understanding Workshop, New Orleans, LA, May 1997.

Vetter, T., M. Jones and T. Poggio. A Bootstrapping Algorithm for Learning Linear Models of Object Classes. In: Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), Puerto Rico, 40-46, 1997.

1996:

Beymer, D. and T. Poggio. "Regularization Networks for Visual Learning." In: Early Visual Learning, S. Nayar and T. Poggio (eds.), Oxford University Press, 43-66, 1996.

Ezzat, T. and T. Poggio. Facial Analysis and Synthesis Using Image-based Models. In: Proceedings of the Workshop on the Algorithmic Foundations of Robotics, Toulouse, France, 449-467, August 1996.

Ghahramani, Z. and M.I. Jordan. "Factorial Hidden Markov Models." In: Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1996.

Grimson, W.E.L., B.K.P. Horn, T. Poggio and the staff of the AI Laboratory. "Progress in Image Understanding at MIT." In: Proceedings of the 1996 Image Understanding Workshop, Morgan Kaufmann, San Francisco, CA, 65-74, 1996.

Jaakkola, T., and M.I. Jordan. "Computing Upper and Lower Bounds on Likelihoods on Intractable Networks." In: Workshop on Uncertainty in Artificial Intelligence, E. Horvitz (Ed.), Portland, Oregon, 1996.

Jaakkola, T., L.K. Saul, and M.I. Jordan. "Fast Learning by Bounding Likelihoods in Sigmoid Belief Networks." In: Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA, MIT Press, 1996.

Jordan, M. I. "Computational Aspects of Motor Control and Motor Learning." In: Handbook of Perception and Action Motor Skills, H. Heuer and S. Keele (Eds.), New York, NY, Academic Press, 1996.

Martinez, D. and W. Yang. "Competitive Leaning Algorithms for Channel Optimized Vector Quantizers." In: The 1996 IEEE International Conference on Neural Networks, 1462-1467, June 1996.

Meila, M. and M.I. Jordan. "Learning Fine Motion by Markov Mixtures of Experts." In: Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1996.

Nayar, S. and T. Poggio. "Learning and Vision." In: Early Visual Learning, S. Nayar and T. Poggio (eds.), Oxford University Press, 1-8, 1996.

Pauls, J., E. Bricolo and N. Logothetis. "View Invariant Representations in Monkey Temporal Cortex: Position, Scale and Rotational Invariance." In: Early Visual Learning, S. Nayar and T. Poggio (eds.), Oxford University Press, 9-42, 1996.

Poggio, T. "Networks that Learn and How the Brain Works." In: Proceedings of Symposia in Pure Mathematics (PSPUM), D. Jerison, I.M. Singer and D.W. Stroock (eds.), American Mathematical Society, 1996.

Poggio, T. and K.K. Sung. Networks that Learn for Image Understanding. In: Advances in Image Understanding, K. Bowyer and N. Ahuja (eds.), IEEE Computer Society Press, 226-240, 1996.

Riesenhuber, M., H.U. Bauer and T. Geisel. Analyzing the Formation of Structure in High-dimensional Self-organizing Maps Reveals Differences to Feature Map Models. In: Artificial Neural Networks - ICANN'96, Vol. 1112 of Lecture Notes in Computer Science, Springer, 409-411, 1996.

Romano, R., D. Beymer and T. Poggio. "Face Verification for Real-time Applications." In: Proceedings of the 1996 Image Understanding Workshop, Morgan Kaufmann, San Francisco, CA, 1996.

Sabes, P. and M.I. Jordan. "Reinforcement Learning by Probability Matching." In: Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1996.

Saul, L.K. and M.I. Jordan. "Exploiting Tractable Substructures in Intractable Networks." In: Advances in Neural Information Processing Systems 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1996.

1995:

Beymer, D. and T. Poggio. "Face Recognition from One Example View." In: Proceedings of the IEEE 5th International Conference on Computer Vision, IEEE Computer Society Press, Cambridge, MA, 500-507, June 1995.

Cohn, D., Z. Ghahramani and M.I. Jordan. "Active Learning with Statistical Models." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1995.

Fun, W., and M.I. Jordan. "The Moving Basin: Effective Action-Search in Adaptive Control." In: Proceedings of the World Conference on Neural Networks, Washington, DC., 1995.

Ghahramani, Z., Wolpert, D. M., and M.I. Jordan. "Computational Structure of Coordinate Transformations: A Generalization Study. In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1995.

Girosi, F. Approximation Error Bounds that Use VC-bounds. In: Proceedings of the International Conference on Artificial Neural Networks, 295-302, Paris, October 9-13, 1995.

Girosi, F. and N. Chan. Prior Knowledge and the Creation of Virtual Examples for RBF Networks. In: Neural Networks Signal Processing Proceedings of the 1995/IEEE-SP/Workshop, IEEE Signal Processing Society, Cambridge, MA, 201-210, September 1995.

Jaakkola, T., Singh, S. P., and M.I. Jordan. Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA, MIT Press, 1995.

Jones, M. and T. Poggio. Model-based Matching of Line Drawings by Linear Combinations of Prototypes. In: Proceedings of the IEEE 5th International Conference on Computer Vision, IEEE Computer Society Press, Cambridge, MA, 531-536, June 1995.

Jordan, M.I. and R.A. Jacobs. "Reinforcement Learning with Soft State Aggregation." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA, MIT Press, 1995.

Martinez, D. and W. Yang. "A Robust Backward Adaptive Quantizer." In: Proceedings of IEEE Workshop on Neural Networks for Signal Processing V, 531-540, August 1995.

Poggio, T. and D. Beymer. "Learning Networks for Face Analysis and Synthesis." In: Proceedings of the International Workshop on Automatic Face- and Gesture-recognition, Martin Bichsel (ed.), Zurich, Switzerland, 160-165, 1995.

Riesenhuber, M., H.U. Bauer and T. Geisel. Beyond Feature Map Models: Analyzing the Emergence of Ocular Dominance and Orientation Columns in High-dimensional Self-organizing Maps. In: Learning and Memory: Proceedings of the 23^rd Göttingen Neurobiology Conference 1995, Georg Thieme Verlang, Stuttgart, Vol. 1, 1995.

Saul, L. K., and M.I. Jordan. "Boltzmann Chains and Hidden Markov Models." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1995.

Singh, S. P., T. Jaakkola, M.I. Jordan and R.A. Jacobs. "Learning in Modular and Hierarchical Systems." In: The Handbook of Brain Theory and Neural Networks, M. Arbib (Ed.), Cambridge, MA, MIT Press, 1995.

Sung, K.K. and T. Poggio. Finding Human Faces with a Gaussian Mixture Distribution-based Face Model, Recent Progress in Computer Vision, LNCS Series, Springer-Verlag, 1995.

Sung, K.K. and T. Poggio. Finding Human Faces with a Gaussian Mixture Distribution-based Face Model. In: Proceedings of Second Asian Conference on Computer Vision, Singapore, December 1995.

Wolpert, D. M., Ghahramani, Z., and M.I. Jordan. "Neural forward Dynamic Models in Human Motor Control: Psychophysical Evidence." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1995.

Xu, L., Jordan, M. I., and Hinton, G. E. "An Alternative Model for Mixtures of Experts." In: Advances in Neural Information Processing Systems 7, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo (Eds.), Cambridge MA: MIT Press, 1995.