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ICML
2008
IEEE
16 years 7 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
ISNN
2005
Springer
15 years 11 months ago
A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures
This paper presents a block-adaptive subspace algorithm via oblique projection for blind source separation (BSS) problem of convolutive mixtures. In the proposed algorithm, the pro...
Chunyi Peng, Xianda Zhang, Qutang Cai
ICDM
2003
IEEE
130views Data Mining» more  ICDM 2003»
15 years 11 months ago
Information Theoretic Clustering of Sparse Co-Occurrence Data
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
Inderjit S. Dhillon, Yuqiang Guan
CSL
2010
Springer
15 years 6 months ago
Monaural speech separation and recognition challenge
Robust speech recognition in everyday conditions requires the solution to a number of challenging problems, not least the ability to handle multiple sound sources. The specific ca...
Martin Cooke, John R. Hershey, Steven J. Rennie
ICIP
2004
IEEE
16 years 7 months ago
Estimation of mixtures of probabilistic pca with stochastic em for the 3d biplanar reconstruction of scoliotic rib cage
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
François Destrempes, Jacques A. de Guise, M...