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NIPS
2007
13 years 10 months ago
Comparing Bayesian models for multisensory cue combination without mandatory integration
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
Ulrik Beierholm, Konrad P. Körding, Ladan Sha...
TMI
2011
147views more  TMI 2011»
13 years 3 months ago
Labeling of Lumbar Discs Using Both Pixel- and Object-Level Features With a Two-Level Probabilistic Model
Abstract—Backbone anatomical structure detection and labeling is a necessary step for various analysis tasks of the vertebral column. Appearance, shape and geometry measurements ...
Raja' S. Alomari, Jason J. Corso, Vipin Chaudhary
MM
2004
ACM
133views Multimedia» more  MM 2004»
14 years 2 months ago
Interactive retrieval of 3D shape models using physical objects
We present a novel method for interactive retrieval of 3D shapes using physical objects. Our method is based on simple physical 3D interaction with a set of tangible blocks. As th...
Hiroyasu Ichida, Yuichi Itoh, Yoshifumi Kitamura, ...
CGF
2008
143views more  CGF 2008»
13 years 9 months ago
Sketch-Based Procedural Surface Modeling and Compositing Using Surface Trees
We present a system for creating and manipulating layered procedural surface editing operations, which is motivated by the limited support for iterative design in free-form modeli...
Ryan Schmidt, Karan Singh
IUI
2003
ACM
14 years 2 months ago
Inferring user goals from personality and behavior in a causal model of user affect
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Xiaoming Zhou, Cristina Conati