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ICASSP
2011
IEEE
14 years 8 months ago
Natural gradient approach in orthogonal matrix optimization using cayley transform
Matrix optimization with orthogonal constraints appear in a variety of application fields including signal and image processing. Several researchers have developed algorithms for...
Gen Hori
137
Voted
ICASSP
2011
IEEE
14 years 8 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
ICASSP
2011
IEEE
14 years 8 months ago
On gradient type adaptive filters with non-symmetric matrix step-sizes
—In this contribution we provide a thorough stability analysis of gradient type algorithms with non-symmetric matrix step-sizes. We hereby extend existing analyses for symmetric ...
Markus Rupp
SIAMSC
2008
165views more  SIAMSC 2008»
15 years 4 months ago
Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
Kristian Bredies, Dirk A. Lorenz
WDAG
2007
Springer
73views Algorithms» more  WDAG 2007»
15 years 10 months ago
On Self-stabilizing Synchronous Actions Despite Byzantine Attacks
Consider a distributed network of n nodes that is connected to a global source of “beats”. All nodes receive the “beats” simultaneously, and operate in lock-step. A scheme ...
Danny Dolev, Ezra N. Hoch