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» Discrete optimization in computer vision
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CVPR
2012
IEEE
13 years 3 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
121
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 6 months ago
XCSF with computed continuous action
Wilson introduced XCSF as a successor to XCS. The major development of XCSF is the concept of a computed prediction. The efficiency of XCSF in dealing with numerical input and con...
Trung Hau Tran, Cédric Sanza, Yves Duthen, ...
99
Voted
ERSA
2006
147views Hardware» more  ERSA 2006»
15 years 2 months ago
Code Partitioning for Reconfigurable High-Performance Computing: A Case Study
In this case study, various ways to partition a code between the microprocessor and FPGA are examined. Discrete image convolution operation with separable kernel is used as the ca...
Volodymyr V. Kindratenko
108
Voted
ICCV
2007
IEEE
16 years 2 months ago
Spatial Random Partition for Common Visual Pattern Discovery
Automatically discovering common visual patterns from a collection of images is an interesting but yet challenging task, in part because it is computationally prohibiting. Althoug...
Junsong Yuan, Ying Wu
ICIP
2003
IEEE
16 years 2 months ago
Algorithms for stochastic approximations of curvature flows
Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame...
Gozde B. Unal, Delphine Nain, G. Ben-Arous, Nahum ...