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NIPS
2007
13 years 10 months ago
Incremental Natural Actor-Critic Algorithms
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Gha...
CIMAGING
2008
123views Hardware» more  CIMAGING 2008»
13 years 10 months ago
Non-homogeneous ICD optimization for targeted reconstruction of volumetric CT
Medical imaging typically requires the reconstruction of a limited region of interest (ROI) to obtain a high resolution image of the anatomy of interest. Although targeted reconst...
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman...
ISBI
2007
IEEE
14 years 3 months ago
Fast Image Reconstruction Methods for Fully 3d Multispectral Optical Bioluminescence Tomography
We investigate fast iterative image reconstruction methods for fully 3D multispectral optical bioluminescence tomography where inhomogeneous optical properties are modeled using t...
Sangtae Ahn, Abhijit J. Chaudhari, Felix Darvas, C...
JMLR
2010
115views more  JMLR 2010»
13 years 7 months ago
Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes
The problem of computing a maximum a posteriori (MAP) configuration is a central computational challenge associated with Markov random fields. There has been some focus on “tr...
Pradeep Ravikumar, Alekh Agarwal, Martin J. Wainwr...
CVPR
2007
IEEE
14 years 11 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...