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» Frame domain signal processing: Framework and applications
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CP
2007
Springer
16 years 8 days ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
ANLP
1994
98views more  ANLP 1994»
15 years 7 months ago
Combination of Symbolic and Statistical Approaches for Grammatical Knowledge Acquisition
The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domai...
Masaki Kiyono, Jun-ichi Tsujii
ECCV
2010
Springer
15 years 11 months ago
A Streakline Representation of Flow in Crowded Scenes
Based on the Lagrangian framework for fluid dynamics, a streakline representation of flow is presented to solve computer vision problems involving crowd and traffic flow. Streakl...
Ramin Mehran, Brian E. Moore, Mubarak Shah
ICASSP
2011
IEEE
14 years 9 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
ICASSP
2011
IEEE
14 years 9 months ago
One sentence voice adaptation using GMM-based frequency-warping and shift with a sub-band basis spectrum model
This paper presents a rapid voice adaptation algorithm using GMM-based frequency warping and shift with parameters of a subband basis spectrum model (SBM)[1]. The SBM parameter re...
Masatsune Tamura, Masahiro Morita, Takehiko Kagosh...