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ICASSP
2011
IEEE
14 years 10 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
ICASSP
2011
IEEE
14 years 10 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 10 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 6 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»
16 years 19 days 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