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» Optimizing Designs based on Risk Approach
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INTERSPEECH
2010
14 years 4 months ago
Improvements of search error risk minimization in viterbi beam search for speech recognition
This paper describes improvements in a search error risk minimization approach to fast beam search for speech recognition. In our previous work, we proposed this approach to reduc...
Takaaki Hori, Shinji Watanabe, Atsushi Nakamura
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ICML
2003
IEEE
15 years 10 months ago
Multi-Objective Programming in SVMs
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
Jinbo Bi
TEC
2010
112views more  TEC 2010»
14 years 4 months ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
ICASSP
2010
IEEE
14 years 10 months ago
Empirical quantization for sparse sampling systems
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
Michael A. Lexa
ISCAS
2002
IEEE
80views Hardware» more  ISCAS 2002»
15 years 2 months ago
FRM based FIR filter design - the WLS approach
Frequency-response masking (FRM) technique produces a filter network which comprises several sub-filters with very sparse coefficient values. If the sub-filters are optimized ...
Ya Jun Yu, Yong Ching Lim