70 search results - page 9 / 14 » Learning Scene Semantics Using Fiedler Embedding |
MM
2005
ACM
15 years 3 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
103
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ACL
2012
12 years 12 months ago
2012
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
66
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
125
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CIVR
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...