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IICAI
2007
15 years 5 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
150
Voted
TALG
2008
67views more  TALG 2008»
15 years 3 months ago
Structure and linear-time recognition of 4-leaf powers
A graph G is the k-leaf power of a tree T if its vertices are leaves of T such that two vertices are adjacent in G if and only if their distance in T is at most k. Then T is a k-le...
Andreas Brandstädt, Van Bang Le, R. Sritharan
180
Voted
NN
2000
Springer
134views Neural Networks» more  NN 2000»
15 years 3 months ago
Generic modeling of chemotactic based self-wiring of neural networks
The proper functioning of the nervous system depends critically on the intricate network of synaptic connections that are generated during the system development. During the netwo...
Ronen Segev, Eshel Ben-Jacob
MICCAI
2001
Springer
15 years 8 months ago
Shape versus Size: Improved Understanding of the Morphology of Brain Structures
Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue, subcortical structures, fluid space and lesions followed by volume calculations of gr...
Guido Gerig, Martin Styner, Martha Elizabeth Shent...
120
Voted
TGIS
2010
86views more  TGIS 2010»
14 years 10 months ago
A Road Network Selection Process Based on Data Enrichment and Structure Detection
The presented paper deals with a generic process for road network selection based on data enrichment and structure detection. The first step is to detect significant structures and...
Guillaume Touya