Sciweavers

1383 search results - page 115 / 277
» The Convergence of Iterated Classification
Sort
View
104
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
ICIP
2004
IEEE
16 years 2 months ago
Color space selection for unsupervised color image segmentation by histogram multithresholding
In this paper, we propose a new color image segmentation algorithm by unsupervised classification of pixels. This procedure iteratively constructs the classes by histogram multith...
Jack-Gérard Postaire, Laurent Busin, Ludovi...
112
Voted
ICML
1995
IEEE
16 years 1 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
122
Voted
CVPR
2010
IEEE
15 years 9 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
83
Voted
NETCOOP
2007
Springer
15 years 7 months ago
The Practical Performance of Subgradient Computational Techniques for Mesh Network Utility Optimization
In the networking research literature, the problem of network utility optimization is often converted to the dual problem which, due to nondifferentiability, is solved with a part...
Peng Wang, Stephan Bohacek