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» On Bayesian model and variable selection using MCMC
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ICPR
2008
IEEE
15 years 11 months ago
Object localization using affine invariant substructure constraints
In this paper we propose a novel method for generic object localization. The method is based on modeling the object as a graph at two levels: a local substructural representation ...
Ahmed M. Elgammal, Ishani Chakraborty
ICASSP
2008
IEEE
15 years 4 months ago
Optimizing the acoustic modeling from an unbalanced bi-lingual corpus
Phoneme set clustering of accurate modeling is important in the task of multilingual speech recognition, especially when each of the available language training corpora is mismatc...
Dau-cheng Lyu, Ren-yuan Lyu
JETAI
1998
110views more  JETAI 1998»
14 years 9 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Camera Motion Detection using Video Mosaicing
In this paper, camera motion detection methods using a background image generated by video mosaicing based on the correlation between feature points on a frame pair are described....
Masaki Naito, Kazunori Matsumoto, Keiichiro Hoashi...
BIOCOMP
2006
14 years 11 months ago
Computational Inference of Compound-induced Anti-inflammatory Effects Across Time in an Adjuvant-induced Arthritis Rat Model
A number of diseases, such as arthritis and cardiovascular disorders impacting the lives of many people have strong inflammatory components. To elucidate the antiinflammatory mecha...
Jing Yu, Gabriel Helmlinger, Muriel Saulnier, Anna...