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DAGM
2006
Springer
15 years 7 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
116
Voted
EACL
2006
ACL Anthology
15 years 4 months ago
A Probabilistic Answer Type Model
All questions are implicitly associated with an expected answer type. Unlike previous approaches that require a predefined set of question types, we present a method for dynamical...
Christopher Pinchak, Dekang Lin
ECCV
2002
Springer
16 years 5 months ago
Audio-Video Sensor Fusion with Probabilistic Graphical Models
Abstract. We present a new approach to modeling and processing multimedia data. This approach is based on graphical models that combine audio and video variables. We demonstrate it...
Matthew J. Beal, Hagai Attias, Nebojsa Jojic
ICML
2009
IEEE
16 years 4 months ago
Learning structurally consistent undirected probabilistic graphical models
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
Sushmita Roy, Terran Lane, Margaret Werner-Washbur...
113
Voted
HICSS
2003
IEEE
99views Biometrics» more  HICSS 2003»
15 years 8 months ago
A probabilistic loading-dependent model of cascading failure and possible implications for blackouts
Catastrophic disruptions of large, interconnected infrastructure systems are often due to cascading failure. For example, large blackouts of electric power systems are typically c...
Ian Dobson, Benjamin A. Carreras, David E. Newman