19 search results - page 2 / 4 » Probabilistic graphical models for semi-supervised traffic c... |
CVPR
2009
IEEE
15 years 6 days ago
2009
IEEE
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
ICDAR
2009
IEEE
13 years 12 months ago
2009
IEEE
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
FCSC
2010
13 years 2 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...