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ICML
2008
IEEE
16 years 4 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
SIAMSC
2008
167views more  SIAMSC 2008»
15 years 3 months ago
High Order Numerical Quadratures to One Dimensional Delta Function Integrals
Abstract. We study high order numerical quadratures to one dimensional delta function integrals in this paper. This is motivated by the fact that traditional numerical quadratures ...
Xin Wen
167
Voted
KDD
2008
ACM
264views Data Mining» more  KDD 2008»
16 years 4 months ago
Stable feature selection via dense feature groups
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
Lei Yu, Chris H. Q. Ding, Steven Loscalzo
ICPR
2008
IEEE
16 years 5 months ago
Recognition of books by verification and retraining
The problem of character recognition in a book should be formulated significantly different from that of a single page or word. An ideal approach to design such a recognizer is to...
C. V. Jawahar, N. V. Neeba
134
Voted
ECCV
2008
Springer
16 years 5 months ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof