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» Sampling Methods for Unsupervised Learning
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105
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BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
EMNLP
2008
15 years 4 months ago
One-Class Clustering in the Text Domain
Having seen a news title "Alba denies wedding reports", how do we infer that it is primarily about Jessica Alba, rather than about weddings or reports? We probably reali...
Ron Bekkerman, Koby Crammer
138
Voted
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval
Image retrieval has been widely used in many fields of science and engineering. The semantic concept of user interest is obtained by a learning process. Traditional techniques oft...
Jie Yu, Qi Tian
146
Voted
ICIAR
2010
Springer
14 years 12 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
124
Voted
FOCI
2007
IEEE
15 years 9 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe