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Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis.

, , and . ICDAR, page 958-962. IEEE Computer Society, (2003)

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Learning to learn with the informative vector machine., and . ICML, volume 69 of ACM International Conference Proceeding Series, ACM, (2004)Extracting noise-robust features from audio data., , and . ICASSP, page 1021-1024. IEEE, (2002)Scalable stacking and learning for building deep architectures., , and . ICASSP, page 2133-2136. IEEE, (2012)Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. Advances in Large Margin Classifiers, page 61--74. MIT Press, (1999)Redundant Bit Vectors for Quickly Searching High-Dimensional Regions., , and . Deterministic and Statistical Methods in Machine Learning, volume 3635 of Lecture Notes in Computer Science, page 137-158. Springer, (2004)Large Margin DAGs for Multiclass Classification, , and . Advances in Neural Information Processing Systems 12 (NIPS-99), page 547--553. MIT Press, (2000)Estimating the Support of a High-Dimensional Distribution, , , , and . Neural Comp., 13 (7): 1443-1471 (2001)Tackling Climate Change with Machine Learning, , , , , , , , , and 12 other author(s). ACM Comput. Surv., (February 2022)A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise., , , and . INTERSPEECH, page 1903-1906. ISCA, (2001)Living-Off-The-Land Command Detection Using Active Learning., , , , , , , , and . RAID, page 442-455. ACM, (2021)