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» Extremal Problems of Information Combining
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EOR
2006
88views more  EOR 2006»
15 years 6 months ago
Nonessential objectives within network approaches for MCDM
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functio...
Tomas Gal, Thomas Hanne
MOR
2007
149views more  MOR 2007»
15 years 5 months ago
LP Rounding Approximation Algorithms for Stochastic Network Design
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
Anupam Gupta, R. Ravi, Amitabh Sinha
BICOB
2010
Springer
15 years 4 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
214
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ICASSP
2011
IEEE
14 years 9 months ago
High accurate model-integration-based voice conversion using dynamic features and model structure optimization
This paper combines a parameter generation algorithm and a model optimization approach with the model-integration-based voice conversion (MIVC). We have proposed probabilistic int...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
ICASSP
2011
IEEE
14 years 9 months ago
A new speaker identification algorithm for gaming scenarios
Speaker identification is a well-established research problem but has not been a major application used in gaming scenarios. In this paper, we propose a new algorithm for the ope...
Hoang Do, Ivan Tashev, Alex Acero