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CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 10 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
QEST
2010
IEEE
13 years 7 months ago
A Phase-Type Representation for the Queue Length Distribution of a Semi-Markovian Queue
Abstract--In this paper we study a broad class of semiMarkovian queues introduced by Sengupta. This class contains many classical queues such as the GI/M/1 queue, SM/MAP/1 queue an...
Benny Van Houdt
NIPS
2003
13 years 11 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
ECBS
2007
IEEE
144views Hardware» more  ECBS 2007»
14 years 4 months ago
DP-Miner: Design Pattern Discovery Using Matrix
Design patterns document expert design experience in software system development. They have been applied in many existing software systems. However, pattern information is general...
Jing Dong, Dushyant S. Lad, Yajing Zhao
ICMCS
2006
IEEE
173views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Applying Supervised Classifiers Based on Non-negative Matrix Factorization to Musical Instrument Classification
In this paper, a new approach for automatic audio classification using non-negative matrix factorization (NMF) is presented. Training is performed onto each audio class individua...
Emmanouil Benetos, Margarita Kotti, Constantine Ko...