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189
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TR
2010
158views Hardware» more  TR 2010»
14 years 10 months ago
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems
Software testing is an important issue in software engineering. As software systems become increasingly large and complex, the problem of how to optimally allocate the limited test...
Zai Wang, Ke Tang, Xin Yao
171
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised optimal phoneme segmentation: Objectives, algorithm and comparisons
Phoneme segmentation is a fundamental problem in many speech recognition and synthesis studies. Unsupervised phoneme segmentation assumes no knowledge on linguistic contents and a...
Yu Qiao, Naoya Shimomura, Nobuaki Minematsu
142
Voted
NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 3 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
143
Voted
ASPDAC
1999
ACM
157views Hardware» more  ASPDAC 1999»
15 years 7 months ago
A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization
: This paper presents a genetic algorithm based approach for algebraic optimization of behavioral system specifications. We introduce a chromosomal representation of data-flow gr...
Birger Landwehr
APPROX
2008
Springer
107views Algorithms» more  APPROX 2008»
15 years 5 months ago
A General Framework for Designing Approximation Schemes for Combinatorial Optimization Problems with Many Objectives Combined in
Abstract. In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one ob...
Shashi Mittal, Andreas S. Schulz