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NIPS
2007
15 years 6 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij
PAMI
2008
175views more  PAMI 2008»
15 years 4 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...
COLING
2010
14 years 12 months ago
Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
Mu Li, Yinggong Zhao, Dongdong Zhang, Ming Zhou
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ICASSP
2011
IEEE
14 years 8 months ago
Distributed auxiliary particle filters using selective gossip
This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the ...
Deniz Üstebay, Mark Coates, Michael Rabbat
ICASSP
2011
IEEE
14 years 8 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