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» Supervised Graph Inference
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AI
2006
Springer
13 years 11 months ago
Exploiting Dynamic Independence in a Static Conditioning Graph
Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Kevin Grant, Michael C. Horsch
NIPS
2004
13 years 9 months ago
Semi-supervised Learning on Directed Graphs
Given a directed graph in which some of the nodes are labeled, we investigate the question of how to exploit the link structure of the graph to infer the labels of the remaining u...
Dengyong Zhou, Bernhard Schölkopf, Thomas Hof...
CVPR
2009
IEEE
15 years 2 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
ICSM
2006
IEEE
14 years 1 months ago
Tracking Concerns in Evolving Source Code: An Empirical Study
The association between the description of a concern (e.g., a feature) and the code that implements it is valuable information that can degrade as the code of a system evolves. We...
Martin P. Robillard
EMNLP
2006
13 years 9 months ago
Two graph-based algorithms for state-of-the-art WSD
This paper explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of th...
Eneko Agirre, David Martínez, Oier Lopez de...