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» Complexity of Inference in Graphical Models
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CVPR
2010
IEEE
14 years 6 months ago
Spike Train Driven Dynamical Models for Human Actions
We investigate dynamical models of human motion that can support both synthesis and analysis tasks. Unlike coarser discriminative models that work well when action classes are ...
Michalis Raptis, Kamil Wnuk , Stefano Soatto
CVPR
2010
IEEE
14 years 5 months ago
Modeling and Estimating Persistent Motion with Geometric Flows
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
Dahua Lin, Eric Grimson, John Fisher
INFORMS
2010
107views more  INFORMS 2010»
13 years 8 months ago
A Class Representative Model for Pure Parsimony Haplotyping
Haplotyping estimation from aligned Single Nucleotide Polymorphism (SNP) fragments has attracted more and more attention in the recent years due to its importance in analysis of m...
Daniele Catanzaro, Alessandra Godi, Martine Labb&e...
ICML
2005
IEEE
14 years 11 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
CAISE
2009
Springer
14 years 1 months ago
The Problem of Transitivity of Part-Whole Relations in Conceptual Modeling Revisited
Abstract. Parthood is a relation of fundamental importance in a number of disciplines including cognitive science, linguistics and conceptual modeling. However, one classical probl...
Giancarlo Guizzardi