45 results on '"Patrice Y. Simard"'
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2. FeatureInsight: Visual support for error-driven feature ideation in text classification.
3. ModelTracker: Redesigning Performance Analysis Tools for Machine Learning.
4. CueTIP: a mixed-initiative interface for correcting handwriting errors.
5. Combining Multiple Classifiers for Faster Optical Character Recognition.
6. Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs).
7. Fast Optical Character Recognition through Glyph Hashing for Document Conversion.
8. Boosting-based Transductive Learning for Text Detection.
9. Using GPUs for Machine Learning Algorithms.
10. Text Recognition of Low-resolution Document Images.
11. Ink Normalization and Beautification.
12. Designing human friendly human interaction proofs (HIPs).
13. Using Machine Learning to Break Visual Human Interaction Proofs (HIPs).
14. A Foreground/Background Separation Algorithm for Image Compression.
15. An efficient binary image activity detector based on connected components.
16. Can the sample being transmitted be used to refine its own PDF estimate?
17. Using Character Recognition and Segmentation to Tell Computer from Humans.
18. Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis.
19. Discerning Structure from Freeform Handwritten Notes.
20. Image compression with on-line and off-line learning.
21. On-Line Adaptation in Image Coding with a 2-D Tarp Filter.
22. Separating Appearance from Deformation.
23. A Wavelet Coder for Masked Images.
24. Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching.
25. Browsing through High Quality Document Images with DjVu.
26. Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks.
27. Prior Knowledge in Support Vector Kernels.
28. Learning Prototype Models for Tangent Distance.
29. Comparison of classifier methods: a case study in handwritten digit recognition.
30. Memory-based character recognition using a transformation invariant metric.
31. Efficient Computation of Complex Distance Metrics Using Hierarchical Filtering.
32. Backpropagation without Multiplication.
33. The problem of learning long-term dependencies in recurrent networks.
34. Improving Performance in Neural Networks Using a Boosting Algorithm.
35. Automatic Learning Rate Maximization in Large Adaptive Machines.
36. Efficient Pattern Recognition Using a New Transformation Distance.
37. An efficient algorithm for learning invariance in adaptive classifiers.
38. Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network.
39. Reverse TDNN: An Architecture For Trajectory Generation.
40. Shaping the State Space Landscape in Recurrent Networks.
41. Computers beat Humans at Single Character Recognition in Reading based Human Interaction Proofs (HIPs).
42. Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation.
43. Optimally combining a cascade of classifiers.
44. Improving Wavelet Compression with Neural Networks.
45. Fixed Point Analysis for Recurrent Networks.
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