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» A Spectral Algorithm for Learning Hidden Markov Models
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ICML
2010
IEEE
13 years 8 months ago
Music Plus One and Machine Learning
A system for musical accompaniment is presented in which a computer-driven orchestra follows and learns from a soloist in a concerto-like setting. The system is decomposed into th...
Christopher Raphael
CVPR
2000
IEEE
14 years 9 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg
PAMI
2008
189views more  PAMI 2008»
13 years 7 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
13 years 9 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
TASE
2008
IEEE
13 years 7 months ago
An Intelligent Online Monitoring and Diagnostic System for Manufacturing Automation
Condition monitoring and fault diagnosis in modern manufacturing automation is of great practical significance. It improves quality and productivity, and prevents damage to machine...
Ming Ge, Yangsheng Xu, Ruxu Du