311 search results - page 54 / 63 » Learning Probabilistic Models of Link Structure |
113
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NIPS
2004
15 years 1 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
103
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
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...
CORR
2010
Springer
14 years 12 months ago
2010
Springer
Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their compet...
123
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AAAI
2010
15 years 26 days ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
114
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KDD
2007
ACM
16 years 4 days ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...