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Although the recognition of isolated handwritten digits has been a research topic for many years, it continues to be of interest for the research community and for commercial applications.
Efficient Pattern Recognition Using a New Transformation Distance
P. Simard, Y. Le Cun, and J. Denker · 1993
Earlier work this paper cites.
Comparison of Classifier Methods: A Case Study in Handwritten Digit Recognition
L. Bottou, C. Cortes, J. S. Denker, H. Drucker, I. Guyon, L. Jackel, Y. Le Cun, U. Müller, E. Säckinger, P. Simard, and V. N. Vapnik · 1994
Earlier work this paper cites.
Handwritten Character Classification Using Nearest Neighbor in Large Databases
S. J. Smith, M. O. Bourgoin, K. Sims, and H. L. Voorhees · 1994
Earlier work this paper cites.
On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
S. L. Salzberg · 1997
Earlier work this paper cites.
Support Vector Learning
B. Schölkopf · 1997
Earlier work this paper cites.
On Combining Classifiers
J. Kittler · 1998
Earlier work this paper cites.
Gradient-Based Learning Applied to Document Recognition
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Prior Knowledge in Support Vector Kernels
B. Schölkopf, P. Simard, A. Smola, and V. Vapnik · 1998
Earlier work this paper cites.
Experiments with an Extended Tangent Distance
D. Keysers, J. Dahmen, T. Theiner, and H. Ney · 2000
Earlier work this paper cites.
Handwritten Digit Recognition with a Novel Vision Model that Extracts Linearly Separable Features
L.-N. Teow and K.-F. Loe · 2000
Earlier work this paper cites.
Shape Context: A New Descriptor for Shape Matching and Object Recognition
S. Belongie, J. Malik, and J. Puzicha · 2001
Earlier work this paper cites.
Combined Classification of Handwritten Digits using the ’Virtual Test Sample Method’
J. Dahmen, D. Keysers, and H. Ney · 2001
Cited alongside, same era.
Shape Matching and Object Recognition Using Shape Contexts
S. Belongie, J. Malik, and J. Puzicha · 2002
Cited alongside, same era.
Training Invariant Support Vector Machines
D. DeCoste and B. Schölkopf · 2002
Cited alongside, same era.
Local learning framework for handwritten character recognition
J. X. Dong, A. Krzyzak, and C. Y. Suen · 2002
Cited alongside, same era.
Recognizing Handwritten Digits Using Hierarchical Products of Experts
G. Mayraz and G. Hinton · 2002
Cited alongside, same era.
Robust Vision-Based Features and Classification Schemes for Off-Line Handwritten Digit Recognition
Combination of Three Classifiers with Different Architectures for Handwritten Word Recognition
S. Günter and H. Bunke · 2004
Later among the works it cites.
Local Context in Non-linear Deformation Models for Handwritten Character Recognition
D. Keysers, C. Gollan, and H. Ney · 2004
Later among the works it cites.
A Generic Aproach for Image Classification Based on Decision Tree Ensembles and Local Sub-Windows
R. Marée, P. Geurts, J. Piater, and L. Wehenkel · 2004
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Prototype Setting for Elastic Matching-based Image Pattern Recognition
N. Matsumoto, S. Uchida, and H. Sakoe · 2004
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Efficient Nearest Neighbor Classification Using a Cascade of Approximate Similarity Measures
V. Athistos, J. Alon, and S. Sclaroff · 2005
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Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
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L.-N. Teow and K.-F. Loe · 2002
Cited alongside, same era.
Handwritten Digit Recognition: Benchmarking of State-of-the-Art Techniques
C.-L. Liu, K. Nakashima, H. Sako, and H. Fujisawa · 2003
Cited alongside, same era.
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
P. Simard · 2003
Cited alongside, same era.
On the Choice of Training Set, Architecture and Combination Rule of Multiple MLP Classifiers for Multiresolution Recognition of Handwritten Characters
U. Bhattacharya, S. Vajda, A. Mallick, B. B. Chaudhuri, and A. Belaid · 2004
Cited alongside, same era.
Bootstrap Estimates for Confidence Intervals in ASR Performance Evaluation
M. Bisani and H. Ney · 2004
Cited alongside, same era.
J.-X. Dong, A. Krzyzak, and C. Y. Suen · 2005
Later among the works it cites.
Combining Model-based and Discriminative Approaches in a Modular Two-stage Classification System: Application to Isolated Handwritten Digit Recognition
J. Milgram, R. Sabourin, and M. Cheriet · 2005
Later among the works it cites.
Analysis of Errors of Handwritten Digits Made by a Multitude of Classifiers
C. Y. Suen and J. Tan · 2005
Later among the works it cites.
Combining Multiple Classifiers for Faster Optical Character Recognition
K. Chellapilla, M. Shilman, and P. Simard · 2006
Later among the works it cites.
Modeling of Image Variability for Recognition
D. Keysers · 2006
Later among the works it cites.