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» Parametric Process Model Inference
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NIPS
2003
13 years 9 months ago
A Computational Geometric Approach to Shape Analysis in Images
We present a geometric approach to statistical shape analysis of closed curves in images. The basic idea is to specify a space of closed curves satisfying given constraints, and e...
Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric ...
CVPR
2006
IEEE
14 years 1 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ACL
1998
13 years 9 months ago
A Cognitive Model of Coherence-Driven Story Comprehension
Current models of story comprehension have three major deficiencies: (1) lack of experimental support for the inference processes they involve (e.g. reliance on prediction); (2) i...
Elliot Smith
CSDA
2010
165views more  CSDA 2010»
13 years 7 months ago
A two-component Weibull mixture to model early and late mortality in a Bayesian framework
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality dir...
Alessio Farcomeni, Alessandra Nardi
COMPSAC
2002
IEEE
14 years 15 days ago
A Typed Generic Process Model for Product Focused Process Improvement
The motivation behind the idea of product focused process improvement is to make a process improvement program address certain product quality features in an explicit manner. The P...
Manoranjan Satpathy, Rachel Harrison