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» Likelihood Computations Using Value Abstraction
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ENTCS
2006
135views more  ENTCS 2006»
13 years 9 months ago
Initializing Mutually Referential Abstract Objects: The Value Recursion Challenge
zing Mutually Referential Abstract Objects: The Value Recursion Challenge Don Syme 1 Microsoft Research, Cambridge, U.K. Mutual dependencies between objects arise frequently in pr...
Don Syme
TASLP
2008
120views more  TASLP 2008»
13 years 9 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
EMMCVPR
1999
Springer
14 years 2 months ago
Maximum Likelihood Inference of 3D Structure from Image Sequences
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
Pedro M. Q. Aguiar, José M. F. Moura
ICIP
2005
IEEE
14 years 11 months ago
A likelihood function for block-based motion analysis
In this paper, the computation of likelihood of block motion candidates is considered. The method is based on the evaluation of the sum of squared differences (SSD) measure for lo...
Janne Heikkilä, Olli Silvén, Pekka San...
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 10 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...