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» Discrete optimization in computer vision
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CVPR
2012
IEEE
13 years 8 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
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 15 days 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, ...
ERSA
2006
147views Hardware» more  ERSA 2006»
15 years 7 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
ICCV
2007
IEEE
16 years 8 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 8 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 ...