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» The Computational Complexity of Weak Saddles
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ICASSP
2011
IEEE
12 years 11 months ago
Using F0 to constrain the unit selection Viterbi network
The goal of the work described here is to limit the computation needed in unit selection Viterbi search for text-to-speech synthesis. The broader goal is to improve speech quality...
Alistair Conkie, Ann K. Syrdal
HPCC
2005
Springer
14 years 1 months ago
Transactional Cluster Computing
A lot of sophisticated techniques and platforms have been proposed to build distributed object systems. Remote method invocation and explicit message passing on top of traditional...
Stefan Frenz, Michael Schöttner, Ralph Gö...
PRL
2007
138views more  PRL 2007»
13 years 7 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh
HIS
2004
13 years 9 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
MFCS
2004
Springer
14 years 25 days ago
Complexity of Decision Problems for Simple Regular Expressions
We study the complexity of the inclusion, equivalence, and intersection problem for simple regular expressions arising in practical XML schemas. These basically consist of the conc...
Wim Martens, Frank Neven, Thomas Schwentick