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123
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JPDC
2006
103views more  JPDC 2006»
15 years 3 months ago
Fractal: A mobile code-based framework for dynamic application protocol adaptation
The rapid growth of heterogeneous devices and diverse networks in our daily life, makes it is very difficult, if not impossible, to build a one-size-fits-all application or protoc...
Hanping Lufei, Weisong Shi
TASE
2008
IEEE
15 years 3 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
ICCV
2003
IEEE
16 years 5 months ago
Ranking Prior Likelihood Distributions for Bayesian Shape Localization Framework
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
Shuicheng Yan, Mingjing Li, HongJiang Zhang, QianS...
132
Voted
ECCV
2006
Springer
16 years 5 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
115
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ICSE
2009
IEEE-ACM
15 years 10 months ago
MINTS: A general framework and tool for supporting test-suite minimization
Regression test suites tend to grow over time as new test cases are added to exercise new functionality or to target newly-discovered faults. When test suites become too large, th...
Hwa-You Hsu, Alessandro Orso