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» Modeling Herds and Their Evolvements from Trajectory Data
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MICCAI
2009
Springer
16 years 29 days ago
Shape Modelling for Tract Selection
Abstract. Probabilistic tractography provides estimates of the probability of a structural connection between points or regions in a brain volume, based on information from diffusi...
Jonathan D. Clayden, Martin D. King, Chris A. Cl...
AAAI
2004
15 years 1 months ago
High-Level Goal Recognition in a Wireless LAN
Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recogni...
Jie Yin, Xiaoyong Chai, Qiang Yang
UM
2001
Springer
15 years 4 months ago
Modeling Literary Style for Semi-automatic Generation of Poetry
Abstract. The generation of formal poetry involves both complex creativity usually exercised by a human poet - and strict algorithmic restrictions regarding the metrical structure ...
Pablo Gervás
ICIP
2010
IEEE
14 years 9 months ago
Sparse shapes prototype modeling using genetic algorithms
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
JMLR
2010
140views more  JMLR 2010»
14 years 6 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink