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» Simulation Optimization: Methods and Applications
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ICML
2005
IEEE
16 years 7 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
GLOBECOM
2009
IEEE
15 years 10 months ago
A Subspace Method for the Blind Identification of Multiple Time-Varying FIR Channels
A new method is proposed for the blind subspace-based identification of the coefficients of time-varying (TV) single-input multiple-output (SIMO) FIR channels. The TV channel coef...
Benoît Champagne, Amr El-Keyi, Chao-Cheng Tu
IJSNET
2007
91views more  IJSNET 2007»
15 years 6 months ago
Optimal dynamic actuator location in distributed feedback control of a diffusion process
— In this paper, the problem of distributed neutralization of toxic 2D diffusion process is discussed. The diffusion process is modelled by a parabolic PDE system. A group of mob...
Yangquan Chen, Zhongmin Wang, Jinsong Liang
ICIAP
1999
ACM
15 years 10 months ago
Facial Expression Morphing and Animation with Local Warping Methods
In this paper, we applied local warping techniques to construct a frame work of image-based morphing for facial expressions animation with low complexity. From the experience we o...
Daw-Tung Lin, Han Huang
IVC
2008
93views more  IVC 2008»
15 years 6 months ago
A blind source separation-based method for multiple images encryption
Blind source separation (BSS) has been successfully applied to many fields such as communications and biomedical engineering. Its application for image encryption, however, remain...
Qiu-Hua Lin, Fuliang Yin, Tiemin Mei, Hualou Liang