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CMOT
2010
203views more  CMOT 2010»
15 years 4 months ago
A Bayesian approach to modeling lost person behaviors based on terrain features in Wilderness Search and Rescue
: In Wilderness Search and Rescue (WiSAR), the incident commander (IC) creates a probability distribution map of the likely location of the missing person. This map is important be...
Lanny Lin, Michael A. Goodrich
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 11 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
ISBI
2006
IEEE
16 years 7 months ago
Shape and appearance modeling with feature distributions for image segmentation
This paper presents a new approach to prior shape and appearance modeling for use in curve evolution-based segmentation. The new method is based on the unified use of feature dist...
Andrew Litvin, William Clement Karl, Jayant Shah
ECIS
2004
15 years 8 months ago
Using probabilistic feature models to determine success criteria for ICT projects
Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in...
Koen Milis
FGR
2002
IEEE
185views Biometrics» more  FGR 2002»
15 years 11 months ago
Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering
This paper presents algorithms and a prototype system for hand tracking and hand posture recognition. Hand postures are represented in terms of hierarchies of multi-scale colour i...
Lars Bretzner, Ivan Laptev, Tony Lindeberg