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» Approximate reduction of dynamic systems
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NIPS
2001
15 years 2 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
CIMAGING
2009
184views Hardware» more  CIMAGING 2009»
15 years 1 months ago
Fast space-varying convolution and its application in stray light reduction
Space-varying convolution often arises in the modeling or restoration of images captured by optical imaging systems. For example, in applications such as microscopy or photography...
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan ...
ICASSP
2009
IEEE
15 years 7 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
66
Voted
ISRR
2005
Springer
111views Robotics» more  ISRR 2005»
15 years 6 months ago
Bias Reduction and Filter Convergence for Long Range Stereo
We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gau...
Gabe Sibley, Larry Matthies, Gaurav S. Sukhatme
101
Voted
ENTCS
2008
97views more  ENTCS 2008»
15 years 25 days ago
Termination of Lazy Rewriting Revisited
Lazy rewriting is a proper restriction of term rewriting that dynamically restricts the reduction of certain arguments of functions in order to obtain termination. In contrast to ...
Felix Schernhammer, Bernhard Gramlich