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133
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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 3 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
120
Voted
TOG
2008
95views more  TOG 2008»
15 years 3 months ago
Spectral quadrangulation with orientation and alignment control
This paper presents a new quadrangulation algorithm, extending the spectral surface quadrangulation approach where the coarse quadrangular structure is derived from the Morse-Smal...
Jin Huang, Muyang Zhang, Jin Ma, Xinguo Liu, Leif ...
PR
2007
127views more  PR 2007»
15 years 3 months ago
Face recognition using spectral features
Face recognition is a challenging task in computer vision and pattern recognition. It is well-known that obtaining a low-dimensional feature representation with enhanced discrimin...
Fei Wang, Jingdong Wang, Changshui Zhang, James T....
128
Voted
TON
2010
141views more  TON 2010»
15 years 1 months ago
Weighted spectral distribution for internet topology analysis: theory and applications
Abstract—Comparing graphs to determine the level of underlying structural similarity between them is a widely encountered problem in computer science. It is particularly relevant...
Damien Fay, Hamed Haddadi, Andrew Thomason, Andrew...
123
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 29 days ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler