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» Algorithms for Non-negative Matrix Factorization
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APPROX
2005
Springer
88views Algorithms» more  APPROX 2005»
15 years 3 months ago
Approximating the Best-Fit Tree Under Lp Norms
Abstract. We consider the problem of fitting an n × n distance matrix M by a tree metric T. We give a factor O(min{n1/p , (k log n)1/p }) approximation algorithm for finding the...
Boulos Harb, Sampath Kannan, Andrew McGregor
ICASSP
2009
IEEE
15 years 4 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...
AAAI
2012
13 years 2 days ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
PPL
2002
83views more  PPL 2002»
14 years 9 months ago
Trading Replication for Communication in Parallel Distributed-Memory Dense Solvers
We present new communication-efficient parallel dense linear solvers: a solver for triangular linear systems with multiple right-hand sides and an LU factorization algorithm. Thes...
Dror Irony, Sivan Toledo
ASPLOS
2009
ACM
15 years 10 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards