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IPMI
2007
Springer
16 years 4 months ago
Shape Modeling and Analysis with Entropy-Based Particle Systems
This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization....
Joshua E. Cates, P. Thomas Fletcher, Martin Andrea...
129
Voted
IPMI
2007
Springer
16 years 4 months ago
Population-Based Fitting of Medial Shape Models with Correspondence Optimization
A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary re...
Timothy B. Terriberry, James N. Damon, Stephen M. ...
ICML
2007
IEEE
16 years 4 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
138
Voted
ICML
2004
IEEE
16 years 4 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
266
Voted
PADL
2009
Springer
16 years 4 months ago
Operational Semantics for Declarative Networking
Declarative Networking has been recently promoted as a high-level programming paradigm to more conveniently describe and implement systems that run in a distributed fashion over a ...
Juan A. Navarro, Andrey Rybalchenko