764 search results - page 82 / 153 » Maximum-Margin Matrix Factorization |
113
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JMLR
2012
13 years 12 days ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...
CVPR
2006
IEEE
15 years 4 months ago
2006
IEEE
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further e...
102
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GLOBECOM
2006
IEEE
15 years 4 months ago
2006
IEEE
Abstract— We propose low-complexity equalizers for Alamouti space-time coded orthogonal frequency-division multiplexing (OFDM) systems in time- and frequency-selective channels, ...
DAGSTUHL
2007
14 years 11 months ago
2007
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...
UAI
2008
14 years 11 months ago
2008
We introduce Clique Matrices as an alternative representation of undirected graphs, being a generalisation of the incidence matrix representation. Here we use clique matrices to d...