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TOMACS
2010
79views more  TOMACS 2010»
14 years 8 months ago
A stochastic approximation method with max-norm projections and its applications to the Q-learning algorithm
In this paper, we develop a stochastic approximation method to solve a monotone estimation problem and use this method to enhance the empirical performance of the Q-learning algor...
Sumit Kunnumkal, Huseyin Topaloglu
CVPR
2005
IEEE
16 years 3 months ago
A Unified Optimization Based Learning Method for Image Retrieval
In this paper, an optimization based learning method is proposed for image retrieval from graph model point of view. Firstly, image retrieval is formulated as a regularized optimi...
Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying M...
CVPR
2007
IEEE
16 years 3 months ago
Gradient Intensity: A New Mutual Information-Based Registration Method
Conventional mutual information (MI)-based registration using pixel intensities is time-consuming and ignores spatial information, which can lead to misalignment. We propose a met...
Ramtin Shams, Parastoo Sadeghi, Rodney A. Kennedy
ICASSP
2009
IEEE
15 years 8 months ago
A hybrid method for deconvolution of Bernoulli-Gaussian processes
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
Sinan Yildirim, Ali Taylan Cemgil, Aysin Ertü...
ICC
2007
IEEE
340views Communications» more  ICC 2007»
15 years 7 months ago
A Decentralized Positioning Method for Wireless Sensor Networks Based on Weighted Interpolation
— A decentralized sensor positioning algorithm is proposed using an adaptive weighted-interpolation method. The proposed method utilizes in-network processing among sensors to co...
Chin-Liang Wang, Yao-Win Hong, Yu-Sheng Dai