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» Novel iteration schemes for the Cluster Variation Method
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GLOBECOM
2010
IEEE
13 years 3 months ago
Novel Robust Blind Equalizer for QAM Signals Using Iterative Weighted-Least-Mean-Square Algorithm
In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal sel...
Kun Yan, Hsiao-Chun Wu, Dongxin Xu, S. S. Iyengar
WCE
2007
13 years 6 months ago
Novel Auxiliary Techniques in Clustering
— Clustering is grouping of patterns according to similarity or distance in different perspectives. Various data representations, similarity measurements and organization manners...
Mohammad Taheri, Reza Boostani
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
13 years 11 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICIP
2009
IEEE
13 years 3 months ago
Total variation projection with first order schemes
This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual form...
Mohamed-Jalal Fadili, Gabriel Peyré
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 5 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He