2010:

Leibo, J., J. Mutch, L. Rosasco, S. Ullman, and T. Poggio, "Invariant Recognition of Objects by Vision," CBCL-291 Massachusetts Institute of Technology, Cambridge, MA, November 2, 2010

Meyers, E., Embark, H., Freiwald, W., Serre, T., Kreiman, G., and Poggio T. "Examining high level neural representations of cluttered scenes." MIT-CSAIL-TR-2010-034 / CBCL-289, Massachusetts Institute of Technology, Cambridge, MA, July 29, 2010

Mutch, J., U. Knoblich and T. Poggio, CNS: a GPU-based framework for simulating cortically-organized networks. MIT-CSAIL-TR-2010-013 / CBCL-286, Massachusetts Institute of Technology, Cambridge, MA, February 26, 2010

Wibisono, A., J. Bouvrie, L. Rosasco, and T. Poggio, "Learning and Invariance in a Family of Hierarchical Kernels", MIT-CSAIL-TR-2010-035 / CBCL-290, Massachusetts Institute of Technology, Cambridge, MA, July 30, 2010

2009:

Bouvrie, J., L. Rosasco, G. Shakhnarovich, and S. Smale, "Notes on the Shannon Entropy of the Neural Response", CBCL-281, MIT-CSAIL-TR-2009-049, Massachusetts Institute of Technology, Cambridge, MA, October 9, 2009

Chikkerur, S., T. Serre, and T. Poggio, "A Bayesian inference theory of attention: neuroscience and algorithms" MIT-CSAIL-TR-2009-047/CBCL-280, Massachusetts Institute of Technology, Cambridge, MA, October 3, 2009.

Chikkerur, S., T. Serre, and T. Poggio, "Attentive processing improves object recognition" MIT-CSAIL-TR-2009-046 /CBCL-279, Massachusetts Institute of Technology, Cambridge, MA, October 2, 2009.

Chikkerur, S., C. Tan, T. Serre, and T. Poggio, "An integrated model of visual attention using shape-based features" MIT-CSAIL-TR-2009-029 / CBCL-278, Massachusetts Institute of Technology, Cambridge, MA, June 20, 2009.

Rosasco, L., S. Mosci, M. Santoro, A. Verri, and S. Villa, "Iterative Projection Methods for Structured Sparsity Regularization", MIT-CSAIL-TR-2009-50 / CBCL-282, Massachusetts Institute of Technology, Cambridge, MA, October 14, 2009.

Serre, T., H. Jhuang, E.Garrote, X. Yu, V. Khilnani, T. Poggio, and A. D. Steele "Automated home-cage behavioral phenotyping of mice" , MIT-CSAIL-TR-2009-052 CBCL-283, Massachusetts Institute of Technology, Cambridge, MA, October 26, 2009

Terashima, Y. "Scene Classification with a Biologically Inspired Method", CBCL paper #277/CSAIL Technical Report#2009-020, CBCL-277 Massachusetts Institute of Technology, Cambridge, MA, May 10, 2009.

Wibisono, A., L. Rosasco, T. Poggio, "Sufficient Conditions for Uniform Stability of Regularization Algorithms", CBCL paper #284/CSAIL Technical Report#MIT-CSAIL-TR-2009-060, Massachusetts Institute of Technology, Cambridge, MA, December 1, 2009.

Yu, X., A. Steele, V. Khilnani, E. Garrote, H. Jhuang, T. Serre, and T. Poggio, "Automated home-cage behavioral phenotyping of mice, CBCL paper #283/CSAIL Technical Report#MIT-CSAIL-TR-2009-052, Massachusetts Institute of Technology, Cambridge, MA, October 26, 2009.

2008:

Bileschi, S.M. A Multi-Scale Generalization of the HoG and HMAX Image Descriptors for Object Detection, CBCL paper #271/CSAIL Technical Report #2008-019, Massachusetts Institute of Technology, Cambridge, MA, April 9, 2008.

Caponnetto, A., T. Poggio and S. Smale On a model of visual cortex: learning invariance and selectivity from image sequences, CBCL paper#272/CSAIL Technical Report #2008-030 , Massachusetts Institute of Technology, Cambridge, MA, April 4, 2008

De Mol, C., E. De Vito and L. Rosasco. "Elastic-Net Regularization in Learning Theory", CBCL paper #273/ CSAIL Technical Report #TR-2008-046 , Massachusetts Institute of Technology, Cambridge, MA, July 24, 2008.

De Vito, E., S. Pereverzyev, and L. Rosasco. "Adaptive Kernel Methods Using the Balancing Principle", CBCL paper #275/CSAIL Technical Report#TR-2008-062Massachusetts Institute of Technology, Cambridge, MA, October 16, 2008.

Rosasco, L., M. Belkin, and E. De Vito. "A Note on Perturbation Results for Learning Empirical Operators ", CBCL paper #274/ CSAIL Technical Report #TR-2008-052 , Massachusetts Institute of Technology, Cambridge, MA, August 19, 2008.

S. Smale, L. Rosasco, J. Bouvrie, A. Caponnetto, and T. Poggio. "Mathematics of the Neural Response", CBCL Paper #276/MIT CSAIL Technical Report #TR2008-070, Massachusetts Institute of Technology, Cambridge, MA, November, 2008

2007:

Knoblich, U., J. Bouvrie and T. Poggio. Biophysical Models of Neural Computation: Max and Tuning Circuits, CBCL paper, April 20, 2007.

Masquelier, T., T. Serre, S. Thorpe and T. Poggio. Learning complex cell invariance from natural videos: A plausibility proof, CBCL Paper #269/AI Technical Report #2007-060, Massachusetts Institute of Technology, Cambridge, MA, December, 2007.

Rifkin, R.,. and R.A. Lippert. Notes on Regularized Least-Squares, CBCL Paper #268/AI Technical Report #2007-019, Massachusetts Institute of Technology, Cambridge, MA, May, 2007.

Rifkin, R., J. Bouvrie, K. Schutte, S. Chikkerur, M. Kouh, T. Ezzat and T. Poggio. Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures, CBCL Paper #267/AI Technical Report #2007-019, Massachusetts Institute of Technology, Cambridge, MA, March, 2007.

Smale, S., T. Poggio, A. Caponnetto, and J. Bouvrie. Derived Distance: towards a mathematical theory of visual cortex, CBCL Paper, Massachusetts Institute of Technology, Cambridge, MA, November, 2007.

2006:

Chikkerur, S. and L. Wolf. Empirical Comparison between Hierarchical Fragments Based and Standard Model Based Object Recognition Systems, CBCL Paper #MMVI-0I, Massachusetts Institute of Technology, Cambridge, MA, March, 2006.

Caponnetto, A. and Y. Yao. Adaptation for Regularization Operators in Learning Theory, CBCL Paper #265/AI Technical Report #063, Massachusetts Institute of Technology, Cambridge, MA, September, 2006.

Caponnetto, A. Optimal Rates for Regularization Operators in Learning Theory, CBCL Paper #264/AI Technical Report #062, Massachusetts Institute of Technology, Cambridge, MA, September, 2006.

Serre, T. Learning a Dictionary of Shape-Components in Visual Cortex: Comparison with Neurons, Humans and Machines, CBCL Paper #260/AI Technical Report #028, Massachusetts Institute of Technology, Cambridge, MA, March, 2006.

Yokono, J.J. and T. Poggio. A Multiview Face Identification Model With No Geometric Constraints, Sony Intelligence Dynamics Laboratories, Inc. March, 2006.

2005:

Balas, B. Using Computational Models to Study Texture Representations in the Human Visual System, CBCL Paper #244/AI Memo #2005-002, Massachusetts Institute of Technology, Cambridge, MA, February, 2005.

Caponnetto, A. A Note on the Role of Squared Loss in Regression, CBCL Paper, Massachusetts Institute of Technology, Cambridge, MA, June 2005.

Caponnetto, A. and E. de Vito. Fast Rates for Regularized Least-squares Algorithm, CBCL Paper #248/AI Memo #2005-013, Massachusetts Institute of Technology, Cambridge, MA, April, 2005.

Caponnetto, A. and A. Rakhlin. Some Properties of Empirical Risk Minimization over Donsker Classes, CBCL Paper #250/AI Memo #2005-018, Massachusetts Institute of Technology, Cambridge, MA, May 2005.

Caponnetto, A., L. Rosasco, E. de Vito and A. Verri. Empirical Effective Dimension and Optimal Rates for Regularized Least Squares Algorithm, CBCL Paper #252/AI Memo #2005-019, Massachusetts Institute of Technology, Cambridge, MA, May 2005.

Das, S. Learning to Trade with Insider Information, CBCL Paper #255/AI Memo #2005-028, Massachusetts Institute of Technology, Cambridge, MA, October, 2005.

de Vito, E. and A. Caponnetto. Risk Bounds for Regularized Least-squares Algorithm with Operator-valued Kernels, CBCL Paper #249/AI Memo #2005-015, Massachusetts Institute of Technology, Cambridge, MA, May, 2005.

Geiger, G. and D. Amara. Towards the Prevention of Dyslexia, CBCL Paper #256/AI Memo #2005-029, Massachusetts Institute of Technology, Cambridge, MA, October 2005.

Hung, C., G. Kreiman, T. Poggio and J. DiCarlo. Ultra-fast Object Recognition from Few Spikes, CBCL Paper #253, Massachusetts Institute of Technology, Cambridge, MA, July 2005.

Ivanov, Y., T. Serre and J. Bouvrie. Error Weighted Classifier Combination for Multi-modal Human Identification, CBCL Paper #258/AI Memo #2005-035, Massachusetts Institute of Technology, Cambridge, MA, December, 2005.

Lippert, J.R. and R. Rifkin. Asymptotics of Gaussian Regularized Least-Squares, CBCL Paper #257/AI Memo #2005-030, Massachusetts Institute of Technology, Cambridge, MA, October 2005.

Serre, T., M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman and T. Poggio. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex, CBCL Paper #259/AI Memo #2005-036, Massachusetts Institute of Technology, Cambridge, MA, October, 2005.

Wolf, L. and S. Bileschi. Combining Variable Selection with Dimensionality Reduction, CBCL Paper #247/AI Memo #2005-009, Massachusetts Institute of Technology, Cambridge, MA, March 2005.

Yokono, J.J. and T. Poggio. Boosting a Biologically Inspired Local Descriptor for Geometry-free Face and Full Multi-view 3D Object Recognition, CBCL Paper #254/AI Memo #2005-023, Massachusetts Institute of Technology, Cambridge, MA, July 2005.

2004:

Cadieu, C., M. Kouh, M. Riesenhuber and T. Poggio. Shape Representation in V4: Investigating Position-specific Tuning for Foundary Conformation with the Standard Model of Object Recognition, CBCL Paper #241/AI Memo #2004-024, Massachusetts Institute of Technology, Cambridge, MA, November, 2004.

Kouh, M. and T. Poggio A General Mechanisms for Tuning: Gain Control Circuits and Synapses Underlie Tuning of Cortical Neurons, CBCL Paper #245/AI Memo #2004-031, Massachusetts Institute of Technology, Cambridge, MA, December 2004.

Kreiman, G., C. Hung, T. Poggio and J. DiCarlo. Selectivity of Local Field Potentials in Macaque Inferior Temporal Cortex, CBCL Paper #240/AI Memo #2004-020, Massachusetts Institute of Technology, Cambridge, MA, September, 2004.

Rakhlin, A., S. Mukherjee, and T. Poggio. On Stability and Concentration of Measure, CBCL Paper, Massachusetts Institute of Technology, Cambridge, MA, June 2004.

Rakhlin, A., D. Panchencko and S. Mukherjee. Risk Bounds for Mixture Density Estimation, CBCL Paper #233/AI Memo #2004-001, Massachusetts Institute of Technology, Cambridge, MA, January, 2004.

Riesenhuber, M., I. Jarudi, S. Gilad and P. Sinha Face Processing in Humans is Compatible with a Simple-Shape-based Model of Vision, CBCL Paper #236/AI Memo #2004-006, Massachusetts Institute of Technology, Cambridge, MA, March, 2004.

Schneider, R. and M. Riesenhuber. On the Difficulty of Feature-based Attentional Modulations in Visual Object Recognition: A Modeling Study, CBCL Paper #235/AI Memo #2004-004, Massachusetts Institute of Technology, Cambridge, MA, February, 2004.

Serre, T. and M. Riesenhuber. Realistic Modeling of Simple and Complex Cell Tuning in the HMAX Model, and Implications for Invariant Object Recognition in Cortex, CBCL Paper #239/AI Memo #2004-017, Massachusetts Institute of Technology, Cambridge, MA, August, 2004.

Serre, T., L. Wolf and T. Poggio. A New Biologically Motivated Framework for Robust Object Recognition, CBCL Paper #243/AI Memo #2004-026, Massachusetts Institute of Technology, Cambridge, MA, November, 2004.

Wolf, L. and I. Martin. Regularization through Feature Knock Out, CBCL Paper #242/AI Memo #2004-025, Massachusetts Institute of Technology, Cambridge, MA, November, 2004.

Wolf, L., A. Shashua and S. Mukherjee. Selecting Relevant Genes with a Spectral Approach, CBCL Paper #234/AI Memo #2004-002, Massachusetts Institute of Technology, Cambridge, MA, January, 2004.

Yokono, J.J. and T. Poggio. Rotation Invariant Object Recognition from One Training Example, CBCL Paper #238/AI Memo #2004-010, Massachusetts Institute of Technology, Cambridge, MA, April, 2004.

Yokono, J.J. and T. Poggio. Evaluation of Sets of Oriented and Non-oriented Receptive Fields as Local Descriptors, CBCL Paper #237/AI Memo #2004-007, Massachusetts Institute of Technology, Cambridge, MA, March, 2004.

2003:

Balas, B.J. and P. Sinha. Dissociated Dipoles: Image Representation Via Non-localComparisons, CBCL Paper #229/AI Memo #2003-018, Massachusetts Institute of Technology, Cambridge, MA, August 2003.

Das, S. Intelligent Market-Making in Artificial Financial Markets, CBCL Paper #226/AI Technical Report #2003-005, Massachusetts Institute of Technology, Cambridge, MA, May 2003.

Geiger, G., T. Ezzat and T. Poggio. Perceptual Evaluation of Video-realistic Speech, CBCL Paper #224/AI Memo #2003-003, Massachusetts Institute of Technology, Cambridge, MA, February 2003.

Jarudi, I.N. and P. Sinha. Relative Contributions of Internal and External Features to Face Recognition, CBCL Paper #225/AI Memo #2003-004, Massachusetts Institute of Technology, Cambridge, MA, March 2003.

Kouh, M. and M. Riesenhuber. Investigating Shape Representation in Area V4 with HMAX: Orientation and Grating Selectivities, CBCL Paper #231/AIM #2003-021, Massachusetts Institute of Technology, Cambridge, MA, September 2003.

Louie, J. A Biological Model of Object Recognition with Feature Learning, CBCL Paper #227/AI Technical Report #2003-009, Massachusetts Institute of Technology, Cambridge, MA, May 2003.

Morgenstern, C. and B. Heisele. Component-based Recognition of Objects in an Office Environment, CBCL Paper #232/AI Memo #2003-024, Massachusetts Institute of Technology, Cambridge, MA, November 2003.

Mukherjee, S., P. Golland and D. Panchenko. Permutation Tests for Classification, AI Memo #2003-019, Massachusetts Institute of Technology, Cambridge, MA, August 2003.

Rosen, E. Face Representation in Cortex: Studies Using a Simple and Not So Special Model, CBCL Paper #228/AI Technical Report #2003-010, Massachusetts Institute of Technology, Cambridge, MA, June 2003.

Shimizu, H. and T. Poggio. Direction Estimation of Pedestrain from Images, CBCL Paper #230/AI Memo #2003-020, Massachusetts Institute of Technology, Cambridge, MA, August 2003.

2002:

Giese, M.A. and X. Xie. Exact Solution of the Nonlinear Dynamics of Recurrent Neural Mechanisms for Direction Selectivity, CBCL Paper #220/AI Memo #2002-013, Massachusetts Institute of Technology, Cambridge, MA, August 2002.

Giese, M.A. and T. Poggio. Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions, CBCL Paper #219/AI Memo #2002-012, Massachusetts Institute of Technology, Cambridge, MA, August 2002.

Kim, A.J. and C.R. Shelton. Modeling Stock Order Flows and Learning Market-Making from Data, CBCL Paper #217/AI Memo #2002-009, Massachusetts Institute of Technology, Cambridge, MA, June 2002.

Knoblich, U., D. Freedman and M. Riesenhuber. Categorization in IT and PFC: Model and Experiments, CBCL Paper #216/AI Memo #2002-007, Massachusetts Institute of Technology, Cambridge, MA, April 2002.

Knoblich, U. and M. Riesenhuber. Stimulus Simplification and Object Representation: A Modeling Study, CBCL Paper #215/AI Memo #2002-004, Massachusetts Institute of Technology, Cambridge, MA, March 2002.

Kumar, V.P. Towards Man-machine Interfaces: Combining Top-down Constraints with Bottom-up Learning in Facial Analysis, CBCL Paper #221/AI Technical Report #2002-008, Massachusetts Institute of Technology, Cambridge, MA, August 2002.

Mukherjee, S., P. Niyogi, T. Poggio and R. Rifkin. Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization, CBCL Paper #223, Massachusetts Institute of Technology, Cambridge, MA, December 2002 [January 2004 revision].

Poggio, T., R. Rifkin, S. Mukherjee, and A. Rakhlin. Bagging Regularizes, CBCL Paper #214/AI Memo #2002-003, Massachusetts Institute of Technology, Cambridge, MA, February 2002.

Perez-Breva, L. and O. Yoshimi. Model Selection in Summary Evaluation, CBCL Paper #222/AI Memo #2002-023, Massachusetts Institute of Technology, Cambridge, MA, December 2002.

Schneider, R. and M. Riesenhuber. A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition, CBCL Paper #218/AI Memo #2002-011, Massachusetts Institute of Technology, Cambridge, MA, August 2002.

2001:

Alvira, M., J. Paris and Rifkin, R. The Audiomomma Music Recommendation System, CBCL Paper #199/AI Memo #2001-012, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Alvira, M. and Rifkin, R. An Empirical Comparison of SNoW and SVMs for Face Detection, CBCL Paper #193/AI Memo #2001-004, Massachusetts Institute of Technology, Cambridge, MA, January 2001.

Chan, N.T., B. LeBaron, A.W. Lo and T. Poggio. Agent-Based Models of Financial Markets: A Comparison with Experimental Markets, MIT Sloan Working Paper No. 4195-01, Social Science Research Network Electronic Library, October 2001.

Chan, N., E. Dahan, A. Lo and T. Poggio. Experimental Markets for Product Concepts, CBCL Paper #200/AI Memo #2001-013, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Chan, N. and C. Shelton. An Electronic Market-Maker, CBCL Paper #195/AI Memo #2001-005, Massachusetts Institute of Technology, Cambridge, MA, April 2001.

Ho, P. Rotation Invariant Real-time Face Detection and Recognition System, CBCL Paper #197/AI Memo #2001-010, Massachusetts Institute of Technology, Cambridge, MA, May 2001.

Ostrovsky, Y., P. Cavanagh and P. Sinha. Perceiving Illumination Inconsistencies in Scenes, CBCL Paper #209/AI Memo #2001-029, Massachusetts Institute of Technology, Cambridge, MA, November 2001.

Poggio, T., S. Mukherjee, R. Rifkin, A. Rakhlin and A. Verri. b, CBCL Paper #198/AI Memo #2001-011, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Rennie, J.D.M. and R. Rifkin. Improving Multiclass Text Classification with the Support Vector Machine, CBCL Paper #210/AI Memo #2001-026, Massachusetts Institute of Technology, Cambridge, MA, October 2001.

Riesenhuber, M. Generalization Over Contrast and Mirror Reversal, but Not Figure-ground Reversal, in an "Edge-based" Model of IT Neurons, CBCL Paper #211/AI Memo #2001-034, Massachusetts Institute of Technology, Cambridge, MA, December 2001.

Russell, R. and P. Sinha. Perceptually-based Comparison of Image Similarity Metrics, CBCL Paper #201/AI Memo #2001-014, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Sadr, J. and P. Sinha. Exploring Object Perception with Random Image Structure Evolution, CBCL Paper #196/AI Memo #2001-006, Massachusetts Institute of Technology, Cambridge, MA, March 2001.

Shelton, C. Importance Sampling for Reinforcement Learning with Multiple Objectives, CBCL Paper #204/AI Technical Report #2001-003, Massachusetts Institute of Technology, Cambridge, MA, August 2001.

Shelton, C. Policy Improvement for POMDPs Using Normalized Importance Sampling, CBCL Paper #194/AI Memo #2001-002, Massachusetts Institute of Technology, Cambridge, MA, March 2001.

Sinha, P. and A. Torralba, A. Role of Low-level Mechanisms in Brightness Perception, CBCL Paper #203/AI Memo #2001-017, Massachusetts Institute of Technology, Cambridge, MA, August 2001.

Torralba, A. and A. Oliva. Global Depth Perception from Familiar Scene Structure, CBCL Paper #213/AI Memo #2001-036, Massachusetts Institute of Technology, Cambridge, MA, December 2001.

Torralba, A. and P. Sinha. Detecting Faces in Impoverished Images, CBCL Paper #208/AI Memo #2001-028, Massachusetts Institute of Technology, Cambridge, MA, November 2001.

Torralba, A. and P. Sinha. Contextual Priming for Object Detection, CBCL Paper #205/AI Memo #2001-020, Massachusetts Institute of Technology, Cambridge, MA, September 2001.

Torralba, A. and P. Sinha. Recognizing Indoor Scenes, CBCL Paper #202/AI Memo #2001-015, Massachusetts Institute of Technology, Cambridge, MA, July 2001.

Yeo, G. and T. Poggio. Multiclass Classification of SRBCTs, CBCL Paper #206/AI Memo #2001-018, Massachusetts Institute of Technology, Cambridge, MA, August 2001.

Yip, A. and P. Sinha. Role of Color in Face Recognition, CBCL Paper #212/AI Memo #2001-035, Massachusetts Institute of Technology, Cambridge, MA, December 2001.

Yu, A., M.A. Giese and T. Poggio. Biological Plausible Neural Circuits for Realization of the Maximum Operations, CBCL Paper #207/AI Memot #2001-022, Massachusetts Institute of Technology, Cambridge, MA, September 2001.

2000:

Heisele, B., T. Poggio and M. Pontil. Face Detection in Still Gray Images, CBCL Paper #187/AI Memo #1687, Massachusetts Institute of Technology, Cambridge, MA, June 2000.

Kumar, V. and T. Poggio. Learning-based Approach to Estimation of Morphable Model Parameters, CBCL Paper #191/AI Memo #1696, Massachusetts Institute of Technology, Cambridge, MA, September 2000.

Nakajima, C., M. Pontil, B. Heisele and T. Poggio. People Recognition in Image Sequences by Supervised Learning, CBCL Paper #188/AI Memo #1688, Massachusetts Institute of Technology, Cambridge, MA, June 2000.

Papageorgiou, C. A Trainable System for Object Detection in Images and Video Sequences, CBCL Paper #186/AI Tech Report #1685, Massachusetts Institute of Technology, Cambridge, MA, May 2000.

Riesenhuber, M. and T. Poggio. Computational Models of Object Recognition in Cortex: A Review, CBCL Paper #190/AI Memo #1695, Massachusetts Institute of Technology, Cambridge, MA, August 2000.

Riesenhuber, M. and T. Poggio. The Individual is Nothing, the Class Everything: Psychophysics and Modeling of Recognition in Object Classes, CBCL Paper #185/AI Memo #1682, Massachusetts Institute of Technology, Cambridge, MA, April 2000.

Serre, T., B. Heisele, S. Mukherjee and T. Poggio. Feature Selection for Face Detection, CBCL Paper #192/AI Memo #1697, Massachusetts Institute of Technology, Cambridge, MA, September 2000.

1999:

Evgeniou, T. and M. Pontil. On the V Gamma Dimension for Regression in Reproducing Kernel Hilbert Spaces, CBCL Paper #172/AI Memo #1656, Massachusetts Institute of Technology, Cambridge, MA, May 1999.

Evgeniou, T., M. Pontil, and T. Poggio. A Unified Framework for Regularization Networks and Support Vector Machines, CBCL Paper #171/AI Memo #1654, Massachusetts Institute of Technology, Cambridge, MA, March 1999.

Ezzat, T. and T. Poggio. Visual Speech Synthesis by Morphing Visemes, CBCL Paper #173/AI Memo #1658, Massachusetts Institute of Technology, Cambridge, MA, May 1999.

Kumar, V. and T. Poggio. Learning-based Approach to Real-time Tracking and Analysis of Faces, CBCL Paper #179/AI Memo #1672, Massachusetts Institute of Technology, Cambridge, MA, September 1999.

Meila, M. An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High Dimensional Sparse Data, CBCL Paper #169/AI Memo #1652, Massachusetts Institute of Technology, Cambridge, MA, 1999.

Mohan, A. Object Detection in Images by Components, CBCL Paper #178/AI Memo #1664, Massachusetts Institute of Technology, Cambridge, MA, June 1999.

Mukherjee, S., P. Tamayo, J.P. Mesirov, D. Slonim, A. Verri and T. Poggio. Support Vector Machine Classification of Microarray Data, CBCL Paper #182/AI Memo #1677, Massachusetts Institute of Technology, Cambridge, MA, December 1999.

Mukherjee, S. and V. Vapnik. Multivariate Density Estimation: An SVM Approach, CBCL Paper #170/AI Memo #1653, Massachusetts Institute of Technology, Cambridge, MA, April 1999.

Papageorgiou, C. and T. Poggio. A Trainable Object Detection System: Car Detection in Static Images, CBCL Paper #180/AI Memo #1673, Massachusetts Institute of Technology, Cambridge, MA, April 1999.

Riesenhuber, M. and T. Poggio. A Note on Object Class Representation and Categorical Perception, CBCL Paper #183/AI Memo #1679, Massachusetts Institute of Technology, Cambridge, MA, December 1999.

Rifkin, R., M. Pontil and A. Verri. A Note on Support Vector Machines Degeneracy, CBCL Paper #177/AI Memo #1661, Massachusetts Institute of Technology, Cambridge, MA, June 1999.

1998:

Chan, N., B. LeBaron, A. Lo and T. Poggio. Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders, CBCL Paper #164/AI Memo #1646, Massachusetts Institute of Technology, Cambridge, MA, September 1998.

Hofmann, Thomas and Jan Puzicha. Statistical Models for Co-occurrence Data, CBCL Paper #159/AI Memo #1625, Massachusetts Institute of Technology, Cambridge, MA, February 1998.

Li, Zhaoping. Pre-attentive Segmentation in the Primary Visual Cortex, CBCL Paper #163/AI Memo #1640, Massachusetts Institute of Technology, Cambridge, MA, April 1998.

Papageorgiou, C., F. Girosi and T. Poggio. Sparse Correlation Kernel Analysis and Reconstruction , CBCL Paper #162/AI Memo #1635, Massachusetts Institute of Technology, Cambridge, MA, May 1998.

Poggio, T. and F. Girosi. Notes on PCA, Regularization, Sparsity and Support Vector Machines , CBCL Paper #161/AI Memo #1632, Massachusetts Institute of Technology, Cambridge, MA, April 1998.

Pontil, M., R. Rifkin and T. Evgeniou. From Regression to Classification in Support Vector Machines, CBCL Paper #166, AI Memo #1649, Massachusetts Institute of Technology, Cambridge, MA, November 1998.

Pontil, M., S. Mukherjee and F. Girosi. On the Noise Model of Support Vector Machine Regression, CBCL Paper #168, AI Memo #1651, Massachusetts Institute of Technology, Cambridge, MA, October 1998.

Poggio, T. and F. Girosi. Notes on PCA, Regularization, Sparsity and Support Vector Machines, CBCL Paper #161/AI Memo #1632, Massachusetts Institute of Technology, Cambridge, MA, April 1998.

Riesenhuber, M. and T. Poggio. Modeling Invariances in Inferotemporal Cell Tuning, CBCL Paper #160/AI Memo #1629, Massachusetts Institute of Technology, Cambridge, MA, March 1998.

Shelton, C. Three-Dimensional Correspondence, CBCL Memo #167/AI Technical Report #1650, Massachusetts Institute of Technology, Cambridge, MA, December 1998.

Weiss, Yair and Edward H. Adelson. Slow and Smooth: A Bayesian Theory for the Combination of Local Motion Signals in Human Vision, CBCL Paper #158/AI Memo 1624, Massachusetts Institute of Technology, Cambridge, MA, February 1998.

1997:

Avidan, S., T. Evgeniou, A. Shashua and T. Poggio. Image-Based View Synthesis, CBCL Paper #145/AI Memo #1603, Massachusetts Institute of Technology, Cambridge, MA, January 1997.

Evgeniou, T. and T. Poggio. Sparse Representations of Multiple Signals, CBCL Paper #156/ AI Memo #1619, Massachusetts Institute of Technology, Cambridge, MA, September 1997.

Geiger, G. and J.Y. Lettvin. A View on Dyslexia, CBCL Paper #148/AI Memo #1608, Massachusetts Institute of Technology, Cambridge, MA, June 1997.

Girosi, F. An Equivalence between Sparse Approximation and Support Vector Machines, CBCL Paper #161/AI Memo #1606, Massachusetts Institute of Technology, Cambridge, MA, May 1997.

Halperin, D. and Shelton, C.R. A Perturbation Scheme for Spherical Arrangements with Application to Molecular Modeling, AI Laboratory Technical Report #1618, Massachusetts Institute of Technology, Cambridge, MA, 1997.

Li, Zhaoping. Visual Segmentation without Classification in a Model of the Primary Visual Cortex, CBCL Paper #153/AI Memo 1613, Massachusetts Institute of Technology, Cambridge, MA, August 1997.

Meila, Marina and Michael I. Jordan. Triangulation by Continuous Embedding, CBCL Paper #146/AI Memo #1605, Massachusetts Institute of Technology, Cambridge, MA, March 1997.

Meila, Marina, Michael I. Jordan, and Quaid Morris. Estimating Dependency Structure as a Hidden Variable, CBCL Paper #151/AI Memo #1611, Massachusetts Institute of Technology, Cambridge, MA, June 1997.

Osuna, E., R. Freund and F. Girosi. Support Vector Machines: Training and Applications, CBCL Paper #144/AI Memo #1602, Massachusetts Institute of Technology, Cambridge, MA, May 1997.

Pontil, P. and A. Verri. Properties of Support Vector Machines, CBCL Paper #152/AI Memo #1612, Massachusetts Institute of Technology, Cambridge, MA, August 1997.

Stein, G.P. and A. Shashua. On Degeneracy of linear Reconstruction from Three Views: Linear Line Complex and Applications, CBCL Paper #157/AI Memo #1620, Massachusetts Institute of Technology, Cambridge, MA, December 1997.

Vetter, T., M. Jones and T. Poggio. A Bootstrapping Algorithm for Learning Linear Models of Object Classes, CBCL Paper #143/ AI Memo #1600, Massachusetts Institute of Technology, Cambridge, MA, February 1997.

Weiss, Yair. Belief Propagation and Revision in Networks with Loops, CBCL Paper #155/AI Memo #1616, Massachusetts Institute of Technology, Cambridge, MA, November 1997.

1996:

Evgeniou, T. Image Based Rendering Using Algebraic Techniques, CBCL Paper 140/ AI Memo 1592, Massachusetts Institute of Technology, Cambridge, MA, November 1996.

Ghahramani, Zoubin and Michael I. Jordan. Factorial Hidden Markov Models, CBCL Paper #130/AI Memo #1561, Massachusetts Institute of Technology, Cambridge, MA, January 1996.

Jaakkola, Tommi S. and Michael I. Jordan. Computing Upper and Lower Bounds on Likelihoods in Intractable Networks, CBCL Paper #136/AI Memo #1571, Massachusetts Institute of Technology, Cambridge, MA, March 1996.

Jaakkola, Tommi S., Lawrence K. Saul, Michael I. Jordan. Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks, CBCL Paper #129/AI Memo #1560, Massachusetts Institute of Technology, Cambridge, MA, January 1996.

Jones, M. and T. Poggio. Model-based Matching by Linear Combinations of Prototypes, CBCL Paper #139/AI Memo #1583, Massachusetts Institute of Technology, Cambridge, MA, September 1996.

Jordan, Michael I. and Christopher M. Bishop. Neural Networks, CBCL Paper #131/AI Memo #1562, Massachusetts Institute of Technology, Cambridge, MA, March 1996.

Lemm, J.D. Prior Information and Generalized Questions, CBCL Paper #141/AI Memo #1598, Massachusetts Institute of Technology, Cambridge, MA, December 1996.

Olshausen, Bruno A. Learning Linear, Sparse, Factorial Codes, CBCL Paper #138/AI Memo #1580, Massachusetts Institute of Technology, Cambridge, MA, July 1996.

Sabes, Philip N. and Michael I. Jordan. Reinforcement Learning by Probability Matching, CBCL Paper #134/AI Memo #1568, Massachusetts Institute of Technology, Cambridge, MA, January 1996.

Saul, Lawrence K., Tommi Jaakkola and Michael I. Jordan. Mean Field Theory for Sigmoid Belief Networks, CBCL Paper #135/AI Memo #1570, Massachusetts Institute of Technology, Cambridge, MA, March 1996.

Schoelkopf, B., K. Sung, C. Burges, F. Girosi, P. Niyogi, T. Poggio and V. Vapnik. Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers, CBCL Paper 142/AI Memo 1599, Massachusetts Institute of Technology, Cambridge, MA, December 1996.

Smyth, Padhraic, David Heckerman and Michael Jordan. Probabilistic Independence Networks for Hidden Markov Probability Models, CBCL Paper #132/AI Memo #1565, Massachusetts Institute of Technology, Cambridge, MA, February 1996.

1995:

Beymer, D. Vectorizing Face Images by Interleaving Shape and Texture Computations, CBCL Paper #122/AI Memo #1537, Massachusetts Institute of Technology, Cambridge, MA, September 1995.

Beymer, D. and T. Poggio. Face Recognition from One Example View, CBCL Paper #121/AI Memo #1536, Massachusetts Institute of Technology, Cambridge, MA, September 1995.

Brunelli, R. and T. Poggio. Template Matching: Matched Spatial Filters and Beyond, CBCL Paper 123/AI Memo 1549, Massachusetts Institute of Technology, Cambridge, MA, October 1995.

Cohn, David A. Minimizing Statistical Bias with Queries, CBCL Paper #124/AI Memo #1552, Massachusetts Institute of Technology, Cambridge, MA, September 1995.

Jones, M. and T. Poggio. Model-based Matching of Line Drawings by Linear Combinations of Prototypes, CBCL Paper #128/AI Memo #1559, Massachusetts Institute of Technology, Cambridge, MA, December 1995.

Logothetis, N. K. and D. A. Leopold. On the Physiology of Bistable Percepts, CBCL Paper #125/AI Memo #1553, Massachusetts Institute of Technology, Cambridge, MA, November 1995.

Logothetis, N.K., J. Pauls and T. Poggio. Spatial Reference Frames for Object Recognition: Tuning for Rotations in Depth, CBCL Paper #120/AI Memo #1533, Massachusetts Institute of Technology, Cambridge, MA, March 1995.

Somers, David C., Emanuel V. Todorov, Athanassios G. Siapas and Mgriganka Sur. Vector-Space Integration of Local and Long-Range Information in Visual Cortex, CBCL Paper #127/AI Memo #1556, Massachusetts Institute of Technology, Cambridge, MA, November 1995.

Vetter, T. and T. Poggio. Linear Object Classes and Image Synthesis from a Single Example Image, CBCL Paper #119/AI Memo #1531, Massachusetts Institute of Technology, Cambridge, MA, March 1995.