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ACL
2009
14 years 10 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
ICC
2009
IEEE
160views Communications» more  ICC 2009»
14 years 10 months ago
Reliability and Efficiency Analysis of Distributed Source Coding in Wireless Sensor Networks
We propose a comprehensive theoretical framework to evaluate reliability and energy consumption of distributed source coding (DSC) in wireless sensor networks (WSNs) applications. ...
Carlo Fischione, Stefano Tennina, Fortunato Santuc...
ICCV
2009
IEEE
14 years 10 months ago
Single view reconstruction using shape grammars for urban environments
In this paper we introduce a novel approach to single view reconstruction using shape grammars. Our approach consists in modeling architectural styles using a set of basic shapes ...
Panagiotis Koutsourakis, Loïc Simon, Olivier ...
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ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
14 years 10 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...
COMSIS
2010
14 years 10 months ago
A novel hierarchical speech emotion recognition method based on improved DDAGSVM
In order to improve the recognition accuracy of speech emotion recognition, in this paper, a novel hierarchical method based on improved Decision Directed Acyclic Graph SVM (improv...
Qi-Rong Mao, Yong-Zhao Zhan