1864 search results - page 62 / 373 » Modeling Classification and Inference Learning |
106
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
134
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FTCGV
2011
14 years 4 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
ECML
1991
Springer
15 years 4 months ago
1991
Springer
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
113
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JCB
2007
15 years 14 days ago
2007
MicroRNAs (miRNAs) regulate a large proportion of mammalian genes by hybridizing to targeted messenger RNAs (mRNAs) and down-regulating their translation into protein. Although mu...
125
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ICIG
2009
IEEE
15 years 7 months ago
2009
IEEE
Categorizing multiple objects in images is essentially a structured prediction problem: the label of an object is in general dependent on the labels of other objects in the image....