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ECCV
2010
Springer
15 years 7 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
OOPSLA
2009
Springer
15 years 7 months ago
MT-scribe: a tool for recording and inferring model transformations
The traditional model transformation approach is to write transformation programs in a specialized language. Although such languages provide powerful capabilities to automate mode...
Yu Sun, Jeff Gray, Jules White
INAP
2001
Springer
15 years 7 months ago
A Modern Approach to Searching the World Wide Web: Ranking Pages by Inference over Content
The Hypertext-based Webs such as Intranets contain a vast amount of information pertaining to an enormous number of subjects. It is, however, an organically grown and thus essentia...
Bronson Trevor, Edgar Weippl, Werner Winiwarter
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NIPS
2007
15 years 3 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
UAI
2008
15 years 3 months ago
Small Sample Inference for Generalization Error in Classification Using the CUD Bound
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Eric Laber, Susan Murphy