801 search results - page 18 / 161 » Estimating Likelihoods for Topic Models |
119
Voted
ECCV
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...
92
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
ICPR
2004
IEEE
16 years 2 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
110
Voted
ISBI
2007
IEEE
15 years 7 months ago
2007
IEEE
Several recent studies have shown that fluorescent particles can be localized with an accuracy that is well beyond traditional resolution limits. Using a theoretical model of the...
186
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We propose a new statistical model, named Hierarchical Topic Trajectory Model (HTTM), for acquiring a dynamically changing topic model that represents the relationship between vid...