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» Some new iterative methods with three-order convergence
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IFIP
2005
Springer
14 years 1 months ago
A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...
R. Fletcher
DCC
2004
IEEE
14 years 7 months ago
Efficient Bit Allocation for Dependent Video Coding
A steepest descent based bit allocation method with polynomial iteration complexity for minimizing the sum of frame distortions under a total bit rate constraint is presented for ...
Yegnaswamy Sermadevi, Sheila S. Hemami
ICCV
2007
IEEE
14 years 9 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
TSP
2008
126views more  TSP 2008»
13 years 7 months ago
HOS-Based Semi-Blind Spatial Equalization for MIMO Rayleigh Fading Channels
In this paper we concentrate on the direct semi-blind spatial equalizer design for MIMO systems with Rayleigh fading channels. Our aim is to develop an algorithm which can outperf...
Zhiguo Ding, Tharmalingam Ratnarajah, Colin Cowan
ICML
1998
IEEE
14 years 8 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich