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» Properties of Synthetic Optimization Problems
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ICASSP
2009
IEEE
14 years 16 days ago
Trajectory training considering global variance for HMM-based speech synthesis
This paper presents a novel method for training hidden Markov models (HMMs) for use in HMM-based speech synthesis. The primary goal of HMM parameter optimization is to ensure that...
Tomoki Toda, Steve Young
DEDS
2002
86views more  DEDS 2002»
13 years 5 months ago
On an Optimization Problem in Sensor Selection*
We address the following sensor selection problem. We assume that a dynamic system possesses a certain property, call it Property D, when a set G of sensors is used. There is a cos...
Rami Debouk, Stéphane Lafortune, Demostheni...
JDA
2008
84views more  JDA 2008»
13 years 5 months ago
Red-blue covering problems and the consecutive ones property
Set Cover problems are of core importance in many applications. In recent research, the "red-blue variants" where blue elements all need to be covered whereas red elemen...
Michael Dom, Jiong Guo, Rolf Niedermeier, Sebastia...
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 6 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
NCI
2004
125views Neural Networks» more  NCI 2004»
13 years 7 months ago
A new approach to blind source separation with global optimal property
This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source sign...
Yiu-ming Cheung, Hailin Liu