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ICA
2007
Springer
15 years 10 months ago
Optimization on the Orthogonal Group for Independent Component Analysis
Abstract. This paper derives a new algorithm that performs independent component analysis (ICA) by optimizing the contrast function of the RADICAL algorithm. The core idea of the p...
Michel Journée, Pierre-Antoine Absil, Rodol...
122
Voted
ICA
2010
Springer
15 years 1 months ago
Non-negative Independent Component Analysis Algorithm Based on 2D Givens Rotations and a Newton Optimization
Abstract. In this paper, we consider the Independent Component Analysis problem when the hidden sources are non-negative (Non-negative ICA). This problem is formulated as a non-lin...
Wendyam Serge Boris Ouedraogo, Antoine Souloumiac,...
121
Voted
ICPP
2000
IEEE
15 years 8 months ago
Evaluation of Loop Grouping Methods Based on Orthogonal Projection Spaces
This paper compares three similar loop-grouping methods. All methods are based on projecting the n-dimensional iteration space Jn onto a k-dimensional one, called the projected sp...
Ioannis Drositis, Georgios I. Goumas, Nectarios Ko...
ICANN
2003
Springer
15 years 9 months ago
Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA
In independent component analysis problems, when we use a one-unit objective function to iteratively estimate several independent components, the uncorrelatedness between the indep...
Kun Zhang, Lai-Wan Chan
138
Voted
DAC
2006
ACM
16 years 4 months ago
Statistical timing analysis with correlated non-gaussian parameters using independent component analysis
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
Jaskirat Singh, Sachin S. Sapatnekar