667 search results - page 74 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
126
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum,...
159
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IVC
2010
15 years 2 months ago
2010
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
328
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EMMCVPR
2011
Springer
14 years 3 months ago
2011
Springer
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
124
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
127
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ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...