Tomaso A. Poggio

Neural Networks, 2020

CUDA-Optimized real-time rendering of a Foveated Visual System.

[BibT_eX]

[DOI]

Elian Malkin

Arturo Deza

CoRR, 2020

For interpolating kernel machines, the minimum norm ERM solution is the most stable.

[BibT_eX]

[DOI]

Akshay Rangamani

CoRR, 2020

Hierarchically Local Tasks and Deep Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Biologically Inspired Mechanisms for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network.

[BibT_eX]

[DOI]

Alexandra Proca

Andrzej Banburski

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Approximate Inference with Wasserstein Gradient Flows.

[BibT_eX]

[DOI]

Charlie Frogner

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Symmetry-adapted representation learning.

[BibT_eX]

[DOI]

Fabio Anselmi

Pattern Recognit., 2019

Double descent in the condition number.

[BibT_eX]

[DOI]

Gil Kur

Andrzej Banburski

CoRR, 2019

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization.

[BibT_eX]

[DOI]

Andrzej Banburski

CoRR, 2019

Function approximation by deep networks.

[BibT_eX]

[DOI]

CoRR, 2019

Theory III: Dynamics and Generalization in Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Fast and Flexible Inference of Joint Distributions from their Marginals.

[BibT_eX]

[DOI]

Charlie Frogner

Proceedings of the 36th International Conference on Machine Learning, 2019

Biologically-Plausible Learning Algorithms Can Scale to Large Datasets.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Surprising Linear Relationship Predicts Test Performance in Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Theory IIIb: Generalization in Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Theory of Deep Learning IIb: Optimization Properties of SGD.

[BibT_eX]

[DOI]

CoRR, 2018

Theory of Deep Learning III: explaining the non-overfitting puzzle.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Invariant recognition drives neural representations of action sequences.

[BibT_eX]

[DOI]

Andrea Tacchetti

Leyla Isik

PLoS Comput. Biol., 2017

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review.

[BibT_eX]

[DOI]

Brando Miranda

Int. J. Autom. Comput., 2017

Theory II: Landscape of the Empirical Risk in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Pruning Convolutional Neural Networks for Image Instance Retrieval.

[BibT_eX]

[DOI]

CoRR, 2017

Do Deep Neural Networks Suffer from Crowding?

[BibT_eX]

[DOI]

Anna Volokitin

Gemma Roig

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 Data Compression Conference, 2017

Representation Learning from Orbit Sets for One-Shot Classification.

[BibT_eX]

[DOI]

Andrea Tacchetti

Proceedings of the 2017 AAAI Spring Symposia, 2017

Group Invariant Deep Representations for Image Instance Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

Is the Human Visual System Invariant to Translation and Scale?

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision.

[BibT_eX]

[DOI]

Proceedings of the 2017 AAAI Spring Symposia, 2017

When and Why Are Deep Networks Better Than Shallow Ones?

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Unsupervised learning of invariant representations.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2016

Deep vs. shallow networks : An approximation theory perspective.

[BibT_eX]

[DOI]

CoRR, 2016

Learning Real and Boolean Functions: When Is Deep Better Than Shallow.

[BibT_eX]

[DOI]

CoRR, 2016

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex.

[BibT_eX]

[DOI]

CoRR, 2016

Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning.

[BibT_eX]

[DOI]

Kenji Kawaguchi

CoRR, 2016

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation.

[BibT_eX]

[DOI]

CoRR, 2016

Turing++ Questions: A Test for the Science of (Human) Intelligence.

[BibT_eX]

[DOI]

Ethan Meyers

AI Mag., 2016

Holographic Embeddings of Knowledge Graphs.

[BibT_eX]

[DOI]

Maximilian Nickel

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

How Important Is Weight Symmetry in Backpropagation?

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2015

Foveation-based Mechanisms Alleviate Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Convolutional Networks are Hierarchical Kernel Machines.

[BibT_eX]

[DOI]

CoRR, 2015

On Invariance and Selectivity in Representation Learning.

[BibT_eX]

[DOI]

Fabio Anselmi

CoRR, 2015

Learning with Group Invariant Features: A Kernel Perspective.

[BibT_eX]

[DOI]

Youssef Mroueh

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning with a Wasserstein Loss.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Discriminative template learning in group-convolutional networks for invariant speech representations.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2015, 2015

Convex Learning of Multiple Tasks and their Structure.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Visual Cortex Models for Object Recognition.

[BibT_eX]

[DOI]

Shimon Ullman

Computer Vision, A Reference Guide, 2014

Machine Recognition of Objects.

[BibT_eX]

[DOI]

Shimon Ullman

Computer Vision, A Reference Guide, 2014

Deep Learning: Theory, Algorithms, and Applications (NII Shonan Meeting 2014-5).

[BibT_eX]

[DOI]

Pierre Baldi

Kenji Fukumizu

NII Shonan Meet. Rep., 2014

Neural tuning size is a key factor underlying holistic face processing.

[BibT_eX]

[DOI]

Cheston Tan

CoRR, 2014

Computational role of eccentricity dependent cortical magnification.

[BibT_eX]

[DOI]

Jim Mutch

Leyla Isik

CoRR, 2014

Unsupervised learning of clutter-resistant visual representations from natural videos.

[BibT_eX]

[DOI]

CoRR, 2014

Learning An Invariant Speech Representation.

[BibT_eX]

[DOI]

CoRR, 2014

Subtasks of Unconstrained Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the VISAPP 2014, 2014

Phone classification by a hierarchy of invariant representation layers.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2014, 2014

Word-level invariant representations from acoustic waveforms.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2014, 2014

A deep representation for invariance and music classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Throwing Down the Visual Intelligence Gauntlet.

[BibT_eX]

[DOI]

Cheston Tan

Proceedings of the Machine Learning for Computer Vision, 2013

Models of visual cortex.

[BibT_eX]

[DOI]

Scholarpedia, 2013

Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?

[BibT_eX]

[DOI]

CoRR, 2013

Unsupervised Learning of Invariant Representations in Hierarchical Architectures.

[BibT_eX]

[DOI]

CoRR, 2013

Neural representation of action sequences: how far can a simple snippet-matching model take us?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning invariant representations and applications to face verification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

The Computational Magic of Pattern Recognition in Cortex: A Theory of Selectivity and Invariance.

[BibT_eX]

Proceedings of the ICPRAM 2013, 2013

On Learnability, Complexity and Stability.

[BibT_eX]

[DOI]

Silvia Villa

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012

Learning and disrupting invariance in visual recognition with a temporal association rule.

[BibT_eX]

[DOI]

Leyla Isik

Frontiers Comput. Neurosci., 2012

Multiclass Learning with Simplex Coding.

[BibT_eX]

[DOI]

Youssef Mroueh

Jean-Jacques E. Slotine

Proceedings of the 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

Learning Manifolds with K-Means and K-Flats.

[BibT_eX]

[DOI]

Guillermo D. Cañas

Proceedings of the 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

2011

Online Learning, Stability, and Stochastic Gradient Descent

[BibT_eX]

[DOI]

CoRR, 2011

Why The Brain Separates Face Recognition From Object Recognition.

[BibT_eX]

[DOI]

Jim Mutch

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

HMDB: A large video database for human motion recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Attention as a Bayesian inference process.

[BibT_eX]

[DOI]

Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2010

Mathematics of the Neural Response.

[BibT_eX]

[DOI]

Found. Comput. Math., 2010

A neuromorphic approach to computer vision.

[BibT_eX]

[DOI]

Commun. ACM, 2010

Hierarchical Learning Machines and Neuroscience of Visual Cortex.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Trainable, vision-based automated home cage behavioral phenotyping.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 2010

2009

On Invariance in Hierarchical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

A Canonical Neural Circuit for Cortical Nonlinear Operations.

[BibT_eX]

[DOI]

Minjoon Kouh

Neural Comput., 2008

Discriminative word-spotting using ordered spectro-temporal patch features.

[BibT_eX]

[DOI]

Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 2008

Localized spectro-temporal cepstral analysis of speech.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Robust Object Recognition with Cortex-Like Mechanisms.

[BibT_eX]

[DOI]

Lior Wolf

Stanley M. Bileschi

IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Component-based Framework for Face Detection and Identification.

[BibT_eX]

[DOI]

Bernd Heisele

Int. J. Comput. Vis., 2007

Spectro-temporal analysis of speech using 2-d Gabor filters.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2007, 2007

A Biologically Inspired System for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2006

Neuroscience: New Insights for AI?

[BibT_eX]

[DOI]

Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Biophysical Models of Neural Computation: Max and Tuning Circuits.

[BibT_eX]

[DOI]

Ulf Knoblich

Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Max-Gabor analysis and synthesis of spectrograms.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2006, 2006

A Multiview Face Identification Model With No Geometric Constraints.

[BibT_eX]

[DOI]

Jerry Jun Yokono

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

2005

Foreword.

[BibT_eX]

[DOI]

Found. Comput. Math., 2005

Morphing spectral envelopes using audio flow.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2005, 2005

Learning Features of Intermediate Complexity for the Recognition of Biological Motion.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Object Recognition with Features Inspired by Visual Cortex.

[BibT_eX]

[DOI]

Lior Wolf

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Oriented Filters for Object Recognition: an Empirical Study.

[BibT_eX]

[DOI]

Jerry Jun Yokono

Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003

Image Representations and Feature Selection for Multimedia Database Search.

[BibT_eX]

[DOI]

Theodoros Evgeniou

IEEE Trans. Knowl. Data Eng., 2003

An Analytical Method for Multiclass Molecular Cancer Classification.

[BibT_eX]

[DOI]

SIAM Rev., 2003

Full-body person recognition system.

[BibT_eX]

[DOI]

Pattern Recognit., 2003

Hierarchical classification and feature reduction for fast face detection with support vector machines.

[BibT_eX]

[DOI]

Pattern Recognit., 2003

Face recognition: component-based versus global approaches.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2003

Reanimating Faces in Images and Video.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2003

Learning and Perceptual Interfaces.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002

Trainable videorealistic speech animation.

[BibT_eX]

[DOI]

Gadi Geiger

ACM Trans. Graph., 2002

Learning and vision machines.

[BibT_eX]

[DOI]

Bernd Heisele

Alessandro Verri

Proc. IEEE, 2002

Biophysiologically Plausible Implementations of the Maximum Operation.

[BibT_eX]

[DOI]

Angela J. Yu

Martin A. Giese

Neural Comput., 2002

Attentional Selection for Object Recognition - A Gentle Way.

[BibT_eX]

[DOI]

Dirk Walther

Laurent Itti

Christof Koch

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision.

[BibT_eX]

[DOI]

Jennifer Louie

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model.

[BibT_eX]

[DOI]

Vinay P. Kumar

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Visual Categorization: How the Monkey Brain Does It.

[BibT_eX]

[DOI]

Ulf Knoblich

David J. Freedman

Earl K. Miller

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001

Example-Based Object Detection in Images by Components.

[BibT_eX]

[DOI]

Anuj Mohan

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Categorization by Learning and Combining Object Parts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Face Recognition with Support Vector Machines: Global versus Component-based Approach.

[BibT_eX]

[DOI]

Bernd Heisele

Purdy Ho

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Component-based Face Detection.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Introduction: Learning and Vision at CBCL.

[BibT_eX]

[DOI]

Alessandro Verri

Int. J. Comput. Vis., 2000

A Trainable System for Object Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2000

Morphable Models for the Analysis and Synthesis of Complex Motion Patterns.

[BibT_eX]

[DOI]

Martin A. Giese

Int. J. Comput. Vis., 2000

Visual Speech Synthesis by Morphing Visemes.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2000

Statistical Learning Theory: A Primer.

[BibT_eX]

[DOI]

Theodoros Evgeniou

Int. J. Comput. Vis., 2000

Regularization Networks and Support Vector Machines.

[BibT_eX]

[DOI]

Theodoros Evgeniou

Adv. Comput. Math., 2000

Feature Selection for SVMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Incremental and Decremental Support Vector Machine Learning.

[BibT_eX]

[DOI]

Gert Cauwenberghs

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

People Recognition and Pose Estimation in Image Sequences.

[BibT_eX]

[DOI]

Chikahito Nakajima

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Pattern Recognition, 2000

Bounds on the Generalization Performance of Kernel Machine Ensembles.

[BibT_eX]

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Learning-Based Approach to Real Time Tracking and Analysis of Faces.

[BibT_eX]

[DOI]

Vinay P. Kumar

Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

CBF: A New Framework for Object Categorization in Cortex.

[BibT_eX]

[DOI]

Proceedings of the Biologically Motivated Computer Vision, 2000

1999

GEM: A Global Electronic Market System.

[BibT_eX]

[DOI]

Benny Rachlevsky-Reich

Inf. Syst., 1999

Machine Learning, Machine Vision, and the Brain.

[BibT_eX]

[DOI]

Christian R. Shelton

AI Mag., 1999

Trainable Pedestrian Detection.

[BibT_eX]

[DOI]

Proceedings of the 1999 International Conference on Image Processing, 1999

A Pattern Classification Approach to Dynamical Object Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Vision, 1999

Sparse correlation kernel reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

Guest Editorial Applications Of Artificial Neural Networks To Image Processing.

[BibT_eX]

[DOI]

Rama Chellappa

Kunihiko Fukushima

Aggelos K. Katsaggelos

IEEE Trans. Image Process., 1998

Incorporating prior information in machine learning by creating virtual examples.

[BibT_eX]

[DOI]

Partha Niyogi

Proc. IEEE, 1998

Example-Based Learning for View-Based Human Face Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1998

A Sparse Representation For Function Approximation.

[BibT_eX]

[DOI]

Neural Comput., 1998

Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1998

A General Framework for Object Detection.

[BibT_eX]

[DOI]

Michael Oren

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Multidimensional Morphable Models.

[BibT_eX]

[DOI]

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Hierarchical Morphable Models.

[BibT_eX]

[DOI]

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

MikeTalk: A Talking Facial Display Based on Morphing Visemes.

[BibT_eX]

[DOI]

Proceedings of the Computer Animation 1998, 1998

1997

Comparing support vector machines with Gaussian kernels to radial basis function classifiers.

[BibT_eX]

[DOI]

Bernhard Schölkopf

Anthony G. Constantinides

Christopher J. C. Burges

IEEE Trans. Signal Process., 1997

Guest Editors' Introduction: Neural Networks For Signal Processing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1997

Template matching: matched spatial filters and beyond.

[BibT_eX]

[DOI]

Pattern Recognit., 1997

Linear Object Classes and Image Synthesis From a Single Example Image.

[BibT_eX]

[DOI]

Thomas Vetter

IEEE Trans. Pattern Anal. Mach. Intell., 1997

Image-based view synthesis by combining trilinear tensors and learning techniques.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 1997

Just One View: Invariances in Inferotemporal Cell Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

A bootstrapping algorithm for learning linear models of object classes.

[BibT_eX]

[DOI]

Thomas Vetter

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Pedestrian Detection Using Wavelet Templates.

[BibT_eX]

[DOI]

Michael Oren

Pawan Sinha

Edgar Osuna

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Videorealistic talking faces: a morphing approach.

[BibT_eX]

[DOI]

Proceedings of the ESCA Workshop on Audio-Visual Speech Processing, 1997

Image Representations for Visual Learning (Invited Paper).

[BibT_eX]

[DOI]

Proceedings of the Audio- and Video-Based Biometric Person Authentication, 1997

1996

3D Object Recognition: A Model of View-Tuned Neurons.

[BibT_eX]

[DOI]

Emanuela Bricolo

Nikos K. Logothetis

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Facial Analysis and Synthesis Using Image-Based Models.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996

Image Synthesis from a Single Example Image.

[BibT_eX]

[DOI]

Thomas Vetter

Proceedings of the Computer Vision, 1996

1995

Regularization Theory and Neural Networks Architectures.

[BibT_eX]

[DOI]

Neural Comput., 1995

Automatic person recognition by acoustic and geometric features.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 1995

Optical flow from 1-D correlation: Application to a simple time-to-crash detector.

[BibT_eX]

[DOI]

Nicola Ancona

Int. J. Comput. Vis., 1995

Model-Based Matching of Line Drawings by Linear Combinations of Prototypes.

[BibT_eX]

[DOI]

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Face Recognition from One Example View.

[BibT_eX]

[DOI]

David Beymer

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Learning Human Face Detection in Cluttered Scenes.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

Finding Human Faces with a Gaussian Mixture Distribution-Based Face Model.

[BibT_eX]

[DOI]

Proceedings of the Recent Developments in Computer Vision, 1995

1994

Introduction to the Special Section on Learning in Computer Vision.

[BibT_eX]

[DOI]

Bir Bhanu

IEEE Trans. Pattern Anal. Mach. Intell., 1994

1993

Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 1993

Face Recognition: Features Versus Templates.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Werner Reichardt 1924-1992.

[BibT_eX]

[DOI]

Biol. Cybern., 1993

Caricatural effects in automated face perception.

[BibT_eX]

[DOI]

Biol. Cybern., 1993

Optical flow from 1D correlation: Application to a simple time-to-crash detector.

[BibT_eX]

[DOI]

Nicola Ancona

Proceedings of the Fourth International Conference on Computer Vision, 1993

1992

Bringing the Grandmother back into the Picture: A Memory-Based View of Object Recognition.

[BibT_eX]

[DOI]

Shimon Edelman

Int. J. Pattern Recognit. Artif. Intell., 1992

Analog VLSI systems for image acquisition and fast early vision processing.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1992

Learning of visual modules from examples: A framework for understanding adaptive visual performance.

[BibT_eX]

[DOI]

Shimon Edelman

Manfred Fahle

CVGIP Image Underst., 1992

Face Recognition through Geometrical Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 1992

1991

Parallel Processing in the DARPA Strategic Computing Vision Program.

[BibT_eX]

[DOI]

IEEE Expert, 1991

HyperBF Networks for Real Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990

Networks for approximation and learning.

[BibT_eX]

[DOI]

Proc. IEEE, 1990

Extensions of a Theory of Networks for Approximation and Learning.

[BibT_eX]

[DOI]

Bruno Caprile

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989

Integration of vision modules and labeling of surface discontinuities.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern., 1989

Motion Field and Optical Flow: Qualitative Properties.

[BibT_eX]

[DOI]

Alessandro Verri

IEEE Trans. Pattern Anal. Mach. Intell., 1989

Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant.

[BibT_eX]

[DOI]

Neural Comput., 1989

1988

Ill-posed problems in early vision.

[BibT_eX]

[DOI]

Mario Bertero

Vincent Torre

Proc. IEEE, 1988

Learning, regularization and splines.

[BibT_eX]

[DOI]

Neural Networks, 1988

Representation properties of multilayer feedforward networks.

[BibT_eX]

[DOI]

B. Moore

Neural Networks, 1988

A regularized solution to edge detection.

[BibT_eX]

[DOI]

Harry Voorhees

Alan L. Yuille

J. Complex., 1988

A Network for Image Segmentation Using Color.

[BibT_eX]

[DOI]

Anya C. Hurlbert

Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Parallel Optical Flow Using Local Voting.

[BibT_eX]

[DOI]

James J. Little

Heinrich H. Bülthoff

Proceedings of the Second International Conference on Computer Vision, 1988

1987

Learning a Color Algorithm from Examples.

[BibT_eX]

[DOI]

Anya C. Hurlbert

Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

An Optimal Scale for Edge Detection.

[BibT_eX]

[DOI]

Davi Geiger

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1986

Scaling Theorems for Zero Crossings.

[BibT_eX]

[DOI]

Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., 1986

On Edge Detection.

[BibT_eX]

[DOI]

Vincent Torre

IEEE Trans. Pattern Anal. Mach. Intell., 1986

On parallel stereo.

[BibT_eX]

[DOI]

Michael Drumheller

Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986

1985

Early vision: From computational structure to algorithms and parallel hardware.

[BibT_eX]

[DOI]

Comput. Vis. Graph. Image Process., 1985

1984

Fingerprints Theorems.

[BibT_eX]

[DOI]

Alan L. Yuille