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NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 4 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ICASSP
2009
IEEE
13 years 11 months ago
Combining independent component analysis with geometric information and its application to speech processing
In this paper, we propose two approaches for combining geometric information with ICA algorithm to solve permutation problem under the scenario where a rough information about the...
Wenyi Zhang, Bhaskar D. Rao
CEC
2007
IEEE
13 years 11 months ago
Constrained genetic algorithm based independent component analysis
Independent Component Analysis, a computationally efficient statistical signal processing technique, has been an area of interest for researchers for many practical applications in...
D. P. Acharya, Ganapati Panda, Y. V. S. Lakshmi
ISPASS
2008
IEEE
13 years 11 months ago
Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets
— This work addresses the problem of building representative subsets of benchmarks from an original large set of benchmarks, using statistical analysis techniques. The subsets sh...
Vassilios N. Christopoulos, David J. Lilja, Paul R...
BMCBI
2008
158views more  BMCBI 2008»
13 years 5 months ago
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent compo
Background: The analysis of high-throughput gene expression data sets derived from microarray experiments still is a field of extensive investigation. Although new approaches and ...
Dominik Lutter, Peter Ugocsai, Margot Grandl, Evel...