Patrice Y. Simard

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On-line adaptation in image coding with a 2-D tarp filter

Henrique S. Malvar, Patrice Y. Simard, David Steinkraus, 2002, Proceedings DCC 2002. Data Compression Conference.

Estimation of the self-similarity parameter using the wavelet transform

Patrice Y. Simard, Skander Soltani, Daniel Boichu, 2004, Signal Process..

La méthode de Higuchi pour la dimension fractale

Patrice Y. Simard, Daniel Boichu, E. Le Tavernier, 1998, Signal Process..

AnchorViz: Facilitating Semantic Data Exploration and Concept Discovery for Interactive Machine Learning

Patrice Y. Simard, Steven M. Drucker, Gonzalo Ramos, 2019, ACM Trans. Interact. Intell. Syst..

Reverse TDNN: An Architecture For Trajectory Generation

Yann LeCun, Patrice Y. Simard, Yann LeCun, 1991, NIPS.

Boosting Performance in Neural Networks

Harris Drucker, Patrice Y. Simard, Robert E. Schapire, 1993, Int. J. Pattern Recognit. Artif. Intell..

Analysis of Recurrent Backpropagation

Patrice Y. Simard, Dana H. Ballard, Mary B. Ottaway, 1988 .

Using GPUs for machine learning algorithms

Patrice Y. Simard, Ian Buck, Dave Steinkrau, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Optimally combining a cascade of classifiers

Patrice Y. Simard, Kumar Chellapilla, Michael Shilman, 2006, Electronic Imaging.

Learning Prototype Models for Tangent Distance

Patrice Y. Simard, Trevor J. Hastie, T. Hastie, 1994, NIPS.

A foreground-background separation algorithm for image compression

Henrique S. Malvar, Patrice Y. Simard, Erin Renshaw, 2004, Data Compression Conference, 2004. Proceedings. DCC 2004.

Comparison of classifier methods: a case study in handwritten digit recognition

Isabelle Guyon, Harris Drucker, Yann LeCun, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

Optical Character Recognition low-resolution camera for documents acquired

Paul A. Viola, Patrice Y. Simard, Charles E. Jacobs, 2005 .

Can the sample being transmitted be used to refine its own PDF estimate?

Patrice Y. Simard, Dinei A. F. Florêncio, 2003, Data Compression Conference, 2003. Proceedings. DCC 2003.

Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks

Yann LeCun, Patrice Y. Simard, Léon Bottou, 1998, NIPS.

The long-term memory prediction by multiscale decomposition

Stéphane Canu, Patrice Y. Simard, Skander Soltani, 2000, Signal Process..

Architecture et technique hautement performantes pour modifier un contenu

Patrice Y. Simard, Kumar Chellapilla, Kumar Chellapilla, 2005 .

An efficient binary image activity detector based on connected components

Henrique S. Malvar, Patrice Y. Simard, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

AnchorViz: Facilitating Classifier Error Discovery through Interactive Semantic Data Exploration

Patrice Y. Simard, Steven M. Drucker, Jina Suh, 2018, IUI.

Designing human friendly human interaction proofs (HIPs)

Mary Czerwinski, Kevin Larson, Patrice Y. Simard, 2005, CHI.

Fast optical character recognition through glyph hashing for document conversion

Patrice Y. Simard, Kumar Chellapilla, Radoslav Nickolov, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Memory-based character recognition using a transformation invariant metric

Yann LeCun, Patrice Y. Simard, John S. Denker, 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

A Case Study in Handwritten Digit Recognition

Harris Drucker, Patrice Y. Simard, Isabelle Guyon, 1994 .

Browsing through high quality document images with DjVu

Yoshua Bengio, Yann LeCun, Patrice Y. Simard, 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

Efficient Pattern Recognition Using a New Transformation Distance

Yann LeCun, Patrice Y. Simard, John S. Denker, 1992, NIPS.

Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)

Patrice Y. Simard, Kumar Chellapilla, P. Simard, 2004, NIPS.

Counterfactual reasoning and learning systems: the example of computational advertising pdf

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2012, J. Mach. Learn. Res..

Improving Wavelet Compression with Neural Networks

Henrique S. Malvar, Patrice Y. Simard, Christopher J. C. Burges, 2001, Data Compression Conference.

Improving Performance in Neural Networks Using a Boosting Algorithm

Harris Drucker, Patrice Y. Simard, Robert E. Schapire, 1992, NIPS.

Using character recognition and segmentation to tell computer from humans

Richard Szeliski, Patrice Y. Simard, Josh Benaloh, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Ink normalization and beautification

Maneesh Agrawala, Patrice Y. Simard, David Steinkraus, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Transformation Invariance in Pattern Recognition - Tangent Distance and Tangent Propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 2012, Neural Networks: Tricks of the Trade.

Vector field restoration by the method of convex projections

Patrice Y. Simard, Guy E. Mailloux, 1990, Comput. Vis. Graph. Image Process..

An efficient algorithm for learning invariance in adaptive classifiers

Patrice Y. Simard, Bernard Victorri, Y. Le Cun, 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems.

Prior Knowledge in Support Vector Kernels

Bernhard Schölkopf, Alexander J. Smola, Patrice Y. Simard, 1997, NIPS.

Backpropagation without Multiplication

Patrice Y. Simard, Hans Peter Graf, P. Simard, 1993, NIPS.

Best practices for convolutional neural networks applied to visual document analysis

Patrice Y. Simard, David Steinkraus, John C. Platt, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

CueTIP: a mixed-initiative interface for correcting handwriting errors

Desney S. Tan, Patrice Y. Simard, Michael Shilman, 2006, UIST.

High Performance Convolutional Neural Networks for Document Processing

Patrice Y. Simard, Kumar Chellapilla, Sidd Puri, 2006 .

Fixed Point Analysis for Recurrent Networks

Patrice Y. Simard, Dana H. Ballard, Mary B. Ottaway, 1988, NIPS.

High quality document image compression with "DjVu"

Yoshua Bengio, Yann LeCun, Patrice Y. Simard, 1998, J. Electronic Imaging.

Counterfactual reasoning and learning systems: the example of computational advertising

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2013, J. Mach. Learn. Res..

FeatureInsight: Visual support for error-driven feature ideation in text classification

Ashish Kapoor, Bongshin Lee, Patrice Y. Simard, 2015, 2015 IEEE Conference on Visual Analytics Science and Technology (VAST).

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, AISTATS.

Analysis of a Design Pattern for Teaching with Features and Labels pdf

Patrice Y. Simard, Xiaojin Zhu, Christopher Meek, 2016, ArXiv.

ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems pdf

David Maxwell Chickering, Patrice Y. Simard, Léon Bottou, 2014, ArXiv.

ModelTracker: Redesigning Performance Analysis Tools for Machine Learning

David Maxwell Chickering, Bongshin Lee, Patrice Y. Simard, 2015, CHI.

Learning algorithms for classification: A comparison on handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .

Boosting-based transductive learning for text detection

David Bargeron, Paul A. Viola, Patrice Y. Simard, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

A Projection Operator for the Restoration of Divergence-Free Vector Fields

Patrice Y. Simard, Guy E. Mailloux, P. Simard, 1988, IEEE Trans. Pattern Anal. Mach. Intell..

Automatic Learning Rate Maximization in Large Adaptive Machines

Barak A. Pearlmutter, Yann LeCun, Patrice Y. Simard, 1992, NIPS.

Interactive machine teaching: a human-centered approach to building machine-learned models

Patrice Y. Simard, Jina Suh, Soroush Ghorashi, 2020, Hum. Comput. Interact..

Image compression with on-line and off-line learning

Henrique S. Malvar, Patrice Y. Simard, David Steinkraus, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Interactive Semantic Featuring for Text Classification pdf

David Maxwell Chickering, Patrice Y. Simard, Jina Suh, 2016, ArXiv.

Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)

Mary Czerwinski, Kevin Larson, Patrice Y. Simard, 2005, HIP.

Discerning structure from freeform handwritten notes

David Jones, Patrice Y. Simard, Zile Wei, 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

Text recognition of low-resolution document images

Paul A. Viola, Patrice Y. Simard, Charles E. Jacobs, 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering

Patrice Y. Simard, 1993, NIPS.

Separating appearance from deformation

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

The problem of learning long-term dependencies in recurrent networks

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1993, IEEE International Conference on Neural Networks.

Shaping the State Space Landscape in Recurrent Networks

Patrice Y. Simard, Bernard Victorri, Jean Pierre Raysz, 1990, NIPS.

Indexation et recherche de documents textuels basées sur des images

Patrice Y. Simard, David M. Bargeron, Vivek C. Srivastava, 2005 .

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network

Yann LeCun, Patrice Y. Simard, John S. Denker, 1991, NIPS.

Transformation invariance in pattern recognition: Tangent distance and propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 2000, Int. J. Imaging Syst. Technol..

Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs)

Mary Czerwinski, Kevin Larson, Patrice Y. Simard, 2005, CEAS.

Combining Multiple Classifiers for Faster Optical Character Recognition

Patrice Y. Simard, Kumar Chellapilla, Michael Shilman, 2006, Document Analysis Systems.

A wavelet coder for masked images

Henrique S. Malvar, Patrice Y. Simard, 2001, Proceedings DCC 2001. Data Compression Conference.

Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation

Yann LeCun, Patrice Y. Simard, John S. Denker, 1996, Neural Networks: Tricks of the Trade.

Comparison of learning algorithms for handwritten digit recognition

Harris Drucker, Lawrence D. Jackel, Patrice Y. Simard, 1995 .

Machine Teaching: A New Paradigm for Building Machine Learning Systems pdf

David Maxwell Chickering, Patrice Y. Simard, Christopher Meek, 2017, ArXiv.

Improving Wavelet Image Compression with Neural Networks

Henrique S. Malvar, Patrice Y. Simard, Christopher J. C. Burges, 2001 .

Learning long-term dependencies with gradient descent is difficult

Yoshua Bengio, Paolo Frasconi, Patrice Y. Simard, 1994, IEEE Trans. Neural Networks.

Metrics and Models for Handwritten Character Recognition

Patrice Y. Simard, T. Hastie, P. Simard, 1998 .

Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay.

Patrice Y. Simard, P. Simard, R. Doty, 1994, Cerebral cortex.

Automatic Learning Rate Maximization by On-Line Estimation of the Hessian's Eigenvectors

Barak A. Pearlmutter, Patrice Y. Simard, Yann LeCun, 1992, NIPS 1992.