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CVPR
2010
IEEE
14 years 5 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
TON
2008
87views more  TON 2008»
13 years 9 months ago
Large-scale network parameter configuration using an on-line simulation framework
As the Internet infrastructure grows to support a variety of services, its legacy protocols are being overloaded with new functions such as traffic engineering. Today, operators en...
Tao Ye, Hema Tahilramani Kaur, Shivkumar Kalyanara...
ASC
2011
13 years 3 months ago
A note on the learning automata based algorithms for adaptive parameter selection in PSO
: PSO, like many stochastic search methods, is very sensitive to efficient parameter setting such that modifying a single parameter may cause a considerable change in the result. I...
Ali B. Hashemi, Mohammad Reza Meybodi
BMCBI
2006
95views more  BMCBI 2006»
13 years 9 months ago
A quantitative analysis of secondary RNA structure using domination based parameters on trees
Background: It has become increasingly apparent that a comprehensive database of RNA motifs is essential in order to achieve new goals in genomic and proteomic research. Secondary...
Teresa W. Haynes, Debra J. Knisley, Edith Seier, Y...
TOG
2008
118views more  TOG 2008»
13 years 9 months ago
Structure-aware halftoning
This paper presents an optimization-based halftoning technique that preserves the structure and tone similarities between the original and the halftone images. By optimizing an ob...
Wai-Man Pang, Yingge Qu, Tien-Tsin Wong, Daniel Co...