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» Genetic Algorithms for Component Analysis
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WOB
2004
233views Bioinformatics» more  WOB 2004»
15 years 5 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...
ISCAS
2002
IEEE
123views Hardware» more  ISCAS 2002»
15 years 9 months ago
Blind electromagnetic source separation and localization
A blind source separation algorithm is used to estimate the mixing operator from electromagnetic emission signals through independent component analysis (ICA) technique. The mixin...
Simone Fiori, Pietro Burrascano
126
Voted
NIPS
2008
15 years 5 months ago
Kernel Measures of Independence for non-iid Data
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
NIPS
2003
15 years 5 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
117
Voted
CVPR
1996
IEEE
15 years 8 months ago
Pattern Rejection
The e ciency of pattern recognition is particularly crucial in two scenarios; whenever there are a large number of classes to discriminate, and, whenever recognition must be perfo...
Simon Baker, Shree K. Nayar