Patrice Simard - researchr alias

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Viewing Publication 1 - 30 from 30

2013

Counterfactual reasoning and learning systems: the example of computational advertisingLéon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson. jmlr, 14(1):3207-3260, 2013. [doi]

2006

Combining Multiple Classifiers for Faster Optical Character RecognitionKumar Chellapilla, Michael Shilman, Patrice Simard. das 2006: 358-367 [doi]

CueTIP: a mixed-initiative interface for correcting handwriting errorsMichael Shilman, Desney S. Tan, Patrice Simard. uist 2006: 323-332 [doi]

2005

Boosting-based Transductive Learning for Text DetectionDavid Bargeron, Paul A. Viola, Patrice Simard. icdar 2005: 1166-1171 [doi]

Fast Optical Character Recognition through Glyph Hashing for Document ConversionKumar Chellapilla, Patrice Simard, Radoslav Nickolov. icdar 2005: 829-834 [doi]

2003

Can the sample being transmitted be used to refine its own PDF estimate?Dinei A. F. Florêncio, Patrice Simard. dcc 2003: 233-242 [doi]

Discerning Structure from Freeform Handwritten NotesMichael Shilman, Zile Wei, Sashi Raghupathy, Patrice Simard, David Jones. icdar 2003: 60-65 [doi]

Best Practices for Convolutional Neural Networks Applied to Visual Document AnalysisPatrice Simard, David Steinkraus, John C. Platt. icdar 2003: 958-962 [doi]

2002

On-Line Adaptation in Image Coding with a 2-D Tarp FilterPatrice Simard, David Steinkraus, Henrique S. Malvar. dcc 2002: 23-32 [doi]

2001

Improving Wavelet Compression with Neural NetworksChristopher J. C. Burges, Patrice Simard, Henrique S. Malvar. dcc 2001: 486 [doi]

Separating Appearance from DeformationNebojsa Jojic, Patrice Simard, Brendan J. Frey, David Heckerman. iccv 2001: 288-294

A Wavelet Coder for Masked ImagesPatrice Simard, Henrique S. Malvar. dcc 2001: 93-102 [doi]

1998

1997

Prior Knowledge in Support Vector KernelsBernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik. nips 1998: 640-646

1996

Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent PropagationPatrice Simard, Yann LeCun, John S. Denker, Bernard Victorri. nips 1998: 239-27 [doi]

1994

Learning long-term dependencies with gradient descent is difficultYoshua Bengio, Patrice Simard, Paolo Frasconi. tnn, 5(2):157-166, 1994. [doi]

Learning Prototype Models for Tangent DistanceTrevor Hastie, Patrice Simard. nips 1995: 999-1006 [doi]

1993

Boosting Performance in Neural NetworksHarris Drucker, Robert E. Schapire, Patrice Simard. ijprai, 7(4):705-719, 1993.

Efficient Computation of Complex Distance Metrics Using Hierarchical FilteringPatrice Simard. nips 1994: 168-175 [doi]

Backpropagation without MultiplicationPatrice Simard, Hans Peter Graf. nips 1994: 232-239 [doi]

1992

Improving Performance in Neural Networks Using a Boosting AlgorithmHarris Drucker, Robert E. Schapire, Patrice Simard. nips 1993: 42-49 [doi]

Automatic Learning Rate Maximization in Large Adaptive MachinesYann LeCun, Patrice Simard, Barak A. Pearlmutter. nips 1993: 156-163 [doi]

Efficient Pattern Recognition Using a New Transformation DistancePatrice Simard, Yann LeCun, John S. Denker. nips 1993: 50-58 [doi]

1991

Reverse TDNN: An Architecture For Trajectory GenerationPatrice Simard, Yann LeCun. nips 1992: 579-588 [doi]

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive NetworkPatrice Simard, Bernard Victorri, Yann LeCun, John S. Denker. nips 1992: 895-903 [doi]

1990

Shaping the State Space Landscape in Recurrent NetworksPatrice Simard, Jean Pierre Raysz, Bernard Victorri. nips 1991: 105-112 [doi]

1988

Fixed Point Analysis for Recurrent NetworksPatrice Simard, Mary B. Ottaway, Dana H. Ballard. nips 1989: 149-159 [doi]

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