862 search results - page 32 / 173 » Regularized Learning with Networks of Features |
112
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UAI
2008
15 years 1 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
120
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CCR
2006
14 years 11 months ago
2006
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
MICAI
2007
Springer
15 years 6 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
ECCV
2010
Springer
15 years 4 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
GECCO
2004
Springer
15 years 5 months ago
2004
Springer
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...