Patrice Y. Simard

Patrice Simard

	2012
i1		Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson: Counterfactual Reasoning and Learning Systems. CoRR abs/1209.2355 (2012)
	2006
c35		Kumar Chellapilla, Michael Shilman, Patrice Simard: Combining Multiple Classifiers for Faster Optical Character Recognition. Document Analysis Systems 2006: 358-367
c34		Michael Shilman, Desney S. Tan, Patrice Simard: CueTIP: a mixed-initiative interface for correcting handwriting errors. UIST 2006: 323-332
	2005
c33		Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski: Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs). CEAS 2005
c32		Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski: Designing human friendly human interaction proofs (HIPs). CHI 2005: 711-720
c31		Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski: Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs). HIP 2005: 1-26
c30		Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker: Text Recognition of Low-resolution Document Images. ICDAR 2005: 695-699
c29		Kumar Chellapilla, Patrice Simard, Radoslav Nickolov: Fast Optical Character Recognition through Glyph Hashing for Document Conversion. ICDAR 2005: 829-834
c28		Dave Steinkrau, Patrice Y. Simard, Ian Buck: Using GPUs for Machine Learning Algorithms. ICDAR 2005: 1115-1119
c27		David Bargeron, Paul A. Viola, Patrice Simard: Boosting-based Transductive Learning for Text Detection. ICDAR 2005: 1166-1171
c26		Patrice Y. Simard, David Steinkraus, Maneesh Agrawala: Ink Normalization and Beautification. ICDAR 2005: 1182-1187
	2004
j8		Skander Soltani, Patrice Simard, Daniel Boichu: Estimation of the self-similarity parameter using the wavelet transform. Signal Processing 84(1): 117-123 (2004)
c25		Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw: A Foreground/Background Separation Algorithm for Image Compression. Data Compression Conference 2004: 498-507
c24		Kumar Chellapilla, Patrice Y. Simard: Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). NIPS 2004
	2003
c23		Dinei A. F. Florêncio, Patrice Simard: Can the sample being transmitted be used to refine its own PDF estimate? DCC 2003: 233-242
c22		Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Simard, David Jones: Discerning Structure from Freeform Handwritten Notes. ICDAR 2003: 60-65
c21		Patrice Y. Simard, Richard Szeliski, Josh Benaloh, Julien Couvreur, Iulian Calinov: Using Character Recognition and Segmentation to Tell Computer from Humans. ICDAR 2003: 418-423
c20		Patrice Simard, David Steinkraus, John C. Platt: Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. ICDAR 2003: 958-962
c19		Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar: Image compression with on-line and off-line learning. ICIP (2) 2003: 259-262
	2002
c18		Patrice Simard, David Steinkraus, Henrique S. Malvar: On-Line Adaptation in Image Coding with a 2-D Tarp Filter. DCC 2002: 23-32
	2001
c17		Patrice Simard, Henrique S. Malvar: A Wavelet Coder for Masked Images. Data Compression Conference 2001: 93-102
c16		Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486
c15		Nebojsa Jojic, Patrice Simard, Brendan J. Frey, David Heckerman: Separating Appearance from Deformation. ICCV 2001: 288-294
	2000
j7		Patrice Y. Simard, Yann A. Le Cun, John S. Denker, Bernard Victorri: Transformation invariance in pattern recognition: Tangent distance and propagation. Int. J. Imaging Systems and Technology 11(3): 181-197 (2000)
j6		Skander Soltani, Daniel Boichu, Patrice Simard, Stéphane Canu: The long-term memory prediction by multiscale decomposition. Signal Processing 80(10): 2195-2205 (2000)
	1998
j5		Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: High quality document image compression with "DjVu". J. Electronic Imaging 7(3): 410-425 (1998)
j4		E. Le Tavernier, Patrice Simard, M. Bulo, Daniel Boichu: La méthode de Higuchi pour la dimension fractale. Signal Processing 65(1): 115-128 (1998)
c14		Patrick Haffner, Léon Bottou, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun: Browsing through High Quality Document Images with DjVu. ADL 1998: 309-318
c13		Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun: Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS 1998: 571-577
	1997
c12		Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik: Prior Knowledge in Support Vector Kernels. NIPS 1997
	1996
c11		Patrice Simard, Yann LeCun, John S. Denker, Bernard Victorri: Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation. Neural Networks: Tricks of the Trade 1996: 239-27
	1994
c10		Trevor Hastie, Patrice Simard: Learning Prototype Models for Tangent Distance. NIPS 1994: 999-1006
	1993
j3		Harris Drucker, Robert E. Schapire, Patrice Simard: Boosting Performance in Neural Networks. IJPRAI 7(4): 705-719 (1993)
c9		Patrice Simard: Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. NIPS 1993: 168-175
c8		Patrice Simard, Hans Peter Graf: Backpropagation without Multiplication. NIPS 1993: 232-239
	1992
c7		Harris Drucker, Robert E. Schapire, Patrice Simard: Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS 1992: 42-49
c6		Patrice Simard, Yann LeCun, John S. Denker: Efficient Pattern Recognition Using a New Transformation Distance. NIPS 1992: 50-58
c5		Yann LeCun, Patrice Simard, Barak A. Pearlmutter: Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163
	1991
c4		Patrice Simard, Yann LeCun: Reverse TDNN: An Architecture For Trajectory Generation. NIPS 1991: 579-588
c3		Patrice Simard, Bernard Victorri, Yann LeCun, John S. Denker: Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network. NIPS 1991: 895-903
	1990
j2		Patrice Y. Simard, Guy E. Mailloux: Vector field restoration by the method of convex projections. Computer Vision, Graphics, and Image Processing 52(3): 360-385 (1990)
c2		Patrice Simard, Jean Pierre Raysz, Bernard Victorri: Shaping the State Space Landscape in Recurrent Networks. NIPS 1990: 105-112
	1988
j1		Patrice Y. Simard, Guy E. Mailloux: A Projection Operator for the Restoration of Divergence-Free Vector Fields. IEEE Trans. Pattern Anal. Mach. Intell. 10(2): 248-256 (1988)
c1		Patrice Simard, Mary B. Ottaway, Dana H. Ballard: Fixed Point Analysis for Recurrent Networks. NIPS 1988: 149-159

Coauthor Index

Colors in the list of coauthors

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