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» Optimization techniques for small matrix multiplication
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IPPS
2003
IEEE
13 years 11 months ago
Active Memory Techniques for ccNUMA Multiprocessors
Our recent work on uniprocessor and single-node multiprocessor (SMP) active memory systems uses address remapping techniques in conjunction with extended cache coherence protocols...
Daehyun Kim, Mainak Chaudhuri, Mark Heinrich
ISSAC
1994
Springer
165views Mathematics» more  ISSAC 1994»
13 years 10 months ago
Constructing Permutation Representations for Large Matrix Groups
New techniques, both theoretical and practical, are presented for constructing a permutation representation for a matrix group. We assume that the resulting permutation degree, n,...
Gene Cooperman, Larry Finkelstein, Bryant W. York,...
JMLR
2010
109views more  JMLR 2010»
13 years 1 months ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...
ICASSP
2009
IEEE
13 years 4 months ago
Weighted nonnegative matrix factorization
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Yong-Deok Kim, Seungjin Choi
AAAI
2006
13 years 7 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang