178 search results - page 9 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
ICMLA
2008
14 years 11 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
103
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CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
We present a novel algorithm for optimally segmenting dynamic scenes containing multiple rigidly moving objects. We cast the motion segmentation problem as a constrained nonlinear...
118
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AAIM
2008
Springer
14 years 11 months ago
2008
Springer
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
83
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MICCAI
2010
Springer
14 years 7 months ago
2010
Springer
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...