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» Subspace Analysis Using Random Mixture Models
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CVPR
2007
IEEE
14 years 9 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
WSC
2007
13 years 10 months ago
Classification analysis for simulation of machine breakdowns
Machine failure is often an important factor in throughput of manufacturing systems. To simplify the inputs to the simulation model for complex machining and assembly lines, we ha...
Lanting Lu, Christine S. M. Currie, Russell C. H. ...
IJON
2010
129views more  IJON 2010»
13 years 6 months ago
Robust object tracking using a spatial pyramid heat kernel structural information representation
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...
Xi Li, Weiming Hu, Hanzi Wang, Zhongfei Zhang
STOC
2006
ACM
83views Algorithms» more  STOC 2006»
14 years 7 months ago
A randomized polynomial-time simplex algorithm for linear programming
We present the first randomized polynomial-time simplex algorithm for linear programming. Like the other known polynomial-time algorithms for linear programming, its running time ...
Jonathan A. Kelner, Daniel A. Spielman
WSC
2004
13 years 9 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese