216 search results - page 29 / 44 » Learning in Gaussian Markov random fields |
132
Voted
TIST
2011
14 years 10 months ago
2011
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
113
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ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...
126
Voted
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
154
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
121
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WACV
2007
IEEE
15 years 9 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of objects from static images. We employ lowlevel contour features that enable us to learn the coarse object sh...