233 search results - page 16 / 47 » Probabilistic Modeling for Structural Change Inference |
116
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ESOP
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
HRI
2010
ACM
15 years 4 months ago
2010
ACM
—Speaking using unconstrained natural language is an intuitive and flexible way for humans to interact with robots. Understanding this kind of linguistic input is challenging be...
ICMLA
2009
14 years 7 months ago
2009
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
146
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CVPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
WACV
2005
IEEE
15 years 3 months ago
2005
IEEE
Dynamic face pose change and noise make it difficult to track multi-view faces in a cluttering environment. In this paper, we propose a graphical model based method, which combin...