1864 search results - page 132 / 373 » Modeling Classification and Inference Learning |
111
click to vote
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
103
Voted
IJCAI
1989
15 years 1 months ago
1989
In many applications in mobile robotics, it is important for a robot to explore its environment in order to construct a representation of space useful for guiding movement. We refe...
129
click to vote
CLOR
2006
15 years 4 months ago
2006
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
140
Voted
CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
Color is known to be highly discriminative for many object recognition tasks, but is difficult to infer from uncontrolled images in which the illuminant is not known. Traditional...
99
Voted
ICDAR
2009
IEEE
15 years 7 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 ...