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» Learning nonlinear dynamic models
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INTERSPEECH
2010
14 years 7 months ago
Online adaptive learning for speech recognition decoding
We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
Jeff Bilmes, Hui Lin
102
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ATAL
2005
Springer
15 years 6 months ago
Evaluating the Minority Game strategy in agent role assignments
A team-based competitive environment is a complex multiagent environment, in which agents are required to coordinate with each other not only to enhance their collective behavior,...
Tingting Wang, Jiming Liu
114
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ICCV
2007
IEEE
15 years 7 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
103
Voted
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 4 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair
100
Voted
ICPR
2006
IEEE
16 years 1 months ago
A maximum margin discriminative learning algorithm for temporal signals
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
Wenjie Xu, Jiankang Wu, Zhiyong Huang