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NIPS
1997
13 years 8 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
MANSCI
2007
88views more  MANSCI 2007»
13 years 7 months ago
The Timing of Resource Development and Sustainable Competitive Advantage
We develop a formal model of the timing of resource development by competing …rms. Our aim is to deepen and extend resource-level theorizing about sustainable competitive advant...
Gonçalo Pacheco-de-Almeida, Peter Zemsky
TNN
2010
148views Management» more  TNN 2010»
13 years 2 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan
CMMR
2007
Springer
114views Music» more  CMMR 2007»
14 years 1 months ago
A Meta-analysis of Timbre Perception Using Nonlinear Extensions to CLASCAL
Abstract. Seeking to identify the constituent parts of the multidimensional auditory attribute that musicians know as timbre, music psychologists have made extensive use of multidi...
John Ashley Burgoyne, Stephen McAdams
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 12 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...