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ICML
2003
IEEE
14 years 8 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
COMPUTE
2010
ACM
14 years 15 hour ago
Mining periodic-frequent patterns with maximum items' support constraints
The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from“rare item problem”while extracting frequent patterns. That...
R. Uday Kiran, P. Krishna Reddy
SODA
2010
ACM
157views Algorithms» more  SODA 2010»
14 years 5 months ago
Testing monotone high-dimensional distributions
A monotone distribution P over a (partially) ordered domain assigns higher probability to y than to x if y x in the order. We study several natural problems concerning testing pr...
Ronitt Rubinfeld, Rocco A. Servedio
JMIV
2002
72views more  JMIV 2002»
13 years 7 months ago
Estimating Overcomplete Independent Component Bases for Image Windows
Estimating overcomplete ICA bases for image windows is a difficult problem. Most algorithms require the estimation of values of the independent components which leads to computatio...
Aapo Hyvärinen, Mika Inki
ICPR
2004
IEEE
14 years 8 months ago
Precise Estimation of High-Dimensional Distribution and Its Application to Face Recognition
In statistical pattern recognition, it is important to estimate true distribution of patterns precisely to obtain high recognition accuracy. Normal mixtures are sometimes used for...
Shinichiro Omachi, Fang Sun, Hirotomo Aso