Patrice Simard
List of publications from the DBLP Bibliography Server - FAQ
2006 | ||
---|---|---|
38 | EE | Kumar Chellapilla, Michael Shilman, Patrice Simard: Combining Multiple Classifiers for Faster Optical Character Recognition. Document Analysis Systems 2006: 358-367 |
37 | EE | Michael Shilman, Desney S. Tan, Patrice Simard: CueTIP: a mixed-initiative interface for correcting handwriting errors. UIST 2006: 323-332 |
2005 | ||
36 | EE | 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 |
35 | EE | Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski: Designing human friendly human interaction proofs (HIPs). CHI 2005: 711-720 |
34 | EE | Kumar Chellapilla, Kevin Larson, Patrice Y. Simard, Mary Czerwinski: Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs). HIP 2005: 1-26 |
33 | EE | Dave Steinkrau, Patrice Y. Simard, Ian Buck: Using GPUs for Machine Learning Algorithms. ICDAR 2005: 1115-1119 |
32 | EE | David Bargeron, Paul A. Viola, Patrice Simard: Boosting-based Transductive Learning for Text Detection. ICDAR 2005: 1166-1171 |
31 | EE | Patrice Y. Simard, David Steinkraus, Maneesh Agrawala: Ink Normalization and Beautification. ICDAR 2005: 1182-1187 |
30 | EE | Charles E. Jacobs, Patrice Y. Simard, Paul A. Viola, James Rinker: Text Recognition of Low-resolution Document Images. ICDAR 2005: 695-699 |
29 | EE | Kumar Chellapilla, Patrice Simard, Radoslav Nickolov: Fast Optical Character Recognition through Glyph Hashing for Document Conversion. ICDAR 2005: 829-834 |
2004 | ||
28 | EE | Patrice Y. Simard, Henrique S. Malvar, James Rinker, Erin Renshaw: A Foreground/Background Separation Algorithm for Image Compression. Data Compression Conference 2004: 498-507 |
27 | EE | Kumar Chellapilla, Patrice Y. Simard: Using Machine Learning to Break Visual Human Interaction Proofs (HIPs). NIPS 2004 |
2003 | ||
26 | EE | Dinei A. F. Florêncio, Patrice Simard: Can the sample being transmitted be used to refine its own PDF estimate? DCC 2003: 233-242 |
25 | EE | 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 |
24 | EE | Michael Shilman, Zile Wei, Sashi Raghupathy, Patrice Simard, David Jones: Discerning Structure from Freeform Handwritten Notes. ICDAR 2003: 60-65 |
23 | EE | Patrice Simard, David Steinkraus, John C. Platt: Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. ICDAR 2003: 958-962 |
22 | 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 | ||
21 | EE | Patrice Simard, David Steinkraus, Henrique S. Malvar: On-Line Adaptation in Image Coding with a 2-D Tarp Filter. DCC 2002: 23-32 |
2001 | ||
20 | EE | Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486 |
19 | EE | Patrice Simard, Henrique S. Malvar: A Wavelet Coder for Masked Images. Data Compression Conference 2001: 93-102 |
18 | Nebojsa Jojic, Patrice Simard, Brendan J. Frey, David Heckerman: Separating Appearance from Deformation. ICCV 2001: 288-294 | |
1998 | ||
17 | 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 | |
16 | EE | Patrice Simard, Léon Bottou, Patrick Haffner, Yann LeCun: Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. NIPS 1998: 571-577 |
1997 | ||
15 | Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik: Prior Knowledge in Support Vector Kernels. NIPS 1997 | |
1996 | ||
14 | EE | 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 | ||
13 | EE | Trevor Hastie, Patrice Simard: Learning Prototype Models for Tangent Distance. NIPS 1994: 999-1006 |
1993 | ||
12 | EE | Patrice Simard: Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering. NIPS 1993: 168-175 |
11 | EE | Patrice Simard, Hans Peter Graf: Backpropagation without Multiplication. NIPS 1993: 232-239 |
10 | Harris Drucker, Robert E. Schapire, Patrice Simard: Boosting Performance in Neural Networks. IJPRAI 7(4): 705-719 (1993) | |
1992 | ||
9 | EE | Yann LeCun, Patrice Simard, Barak A. Pearlmutter: Automatic Learning Rate Maximization in Large Adaptive Machines. NIPS 1992: 156-163 |
8 | EE | Harris Drucker, Robert E. Schapire, Patrice Simard: Improving Performance in Neural Networks Using a Boosting Algorithm. NIPS 1992: 42-49 |
7 | EE | Patrice Simard, Yann LeCun, John S. Denker: Efficient Pattern Recognition Using a New Transformation Distance. NIPS 1992: 50-58 |
1991 | ||
6 | EE | Patrice Simard, Yann LeCun: Reverse TDNN: An Architecture For Trajectory Generation. NIPS 1991: 579-588 |
5 | EE | 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 | ||
4 | EE | Patrice Simard, Jean Pierre Raysz, Bernard Victorri: Shaping the State Space Landscape in Recurrent Networks. NIPS 1990: 105-112 |
3 | EE | 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) |
1988 | ||
2 | EE | Patrice Simard, Mary B. Ottaway, Dana H. Ballard: Fixed Point Analysis for Recurrent Networks. NIPS 1988: 149-159 |
1 | EE | 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) |