311 search results - page 39 / 63 » Learning Probabilistic Models of Link Structure |
RECOMB
2007
Springer
16 years 3 days ago
2007
Springer
Transcription factor (TF) binding to its DNA target site is a fundamental regulatory interaction. The most common model used to represent TF binding specificities is a position spe...
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
123
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
133
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
125
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SCALESPACE
2007
Springer
15 years 6 months ago
2007
Springer
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...