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IJCAI
2007
13 years 6 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
FCSC
2008
88views more  FCSC 2008»
13 years 5 months ago
Fraction-free matrix factors: new forms for LU and QR factors
Gaussian elimination and LU factoring have been greatly studied from the algorithmic point of view, but much less from the point view of the best output format. In this paper, we g...
Wenqin Zhou, David J. Jeffrey
CLA
2007
13 years 6 months ago
Formal Concepts as Optimal Factors in Boolean Factor Analysis: Implications and Experiments
Boolean factor analysis aims at decomposing an objects × attributes Boolean matrix I into a Boolean product of an objects × factors Boolean matrix A and a factors × attributes B...
Radim Belohlávek, Vilém Vychodil
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
13 years 11 months ago
Binary Matrix Factorization with Applications
An interesting problem in Nonnegative Matrix Factorization (NMF) is to factorize the matrix X which is of some specific class, for example, binary matrix. In this paper, we exten...
Zhongyuan Zhang, Tao Li, Chris H. Q. Ding, Xiangsu...
DATESO
2008
156views Database» more  DATESO 2008»
13 years 6 months ago
Developing Genetic Algorithms for Boolean Matrix Factorization
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
Václav Snásel, Jan Platos, Pavel Kr&...