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KES
2010
Springer
15 years 26 days ago
Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...
Mieko Tanaka-Yamawaki
118
Voted
SIGKDD
2010
151views more  SIGKDD 2010»
14 years 9 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
127
Voted
EUROPAR
2005
Springer
15 years 8 months ago
A Paradigm for Parallel Matrix Algorithms:
A style for programming problems from matrix algebra is developed with a familiar example and new tools, yielding high performance with a couple of surprising exceptions. The under...
David S. Wise, Craig Citro, Joshua Hursey, Fang Li...
135
Voted
ICML
2009
IEEE
16 years 3 months ago
Matrix updates for perceptron training of continuous density hidden Markov models
In this paper, we investigate a simple, mistakedriven learning algorithm for discriminative training of continuous density hidden Markov models (CD-HMMs). Most CD-HMMs for automat...
Chih-Chieh Cheng, Fei Sha, Lawrence K. Saul
ISPD
2010
ACM
160views Hardware» more  ISPD 2010»
15 years 9 months ago
Physical synthesis of bus matrix for high bandwidth low power on-chip communications
As the thermal wall becomes the dominant factor limiting VLSI circuit performance, and the interconnect wires become the primary power consumer, power efficiency of onchip data th...
Renshen Wang, Evangeline F. Y. Young, Ronald L. Gr...