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» Efficient Learning of Relational Object Class Models
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BMCBI
2006
194views more  BMCBI 2006»
13 years 11 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
EMMCVPR
2007
Springer
14 years 5 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
IWPC
1998
IEEE
14 years 3 months ago
Pattern Visualization for Software Comprehension
Cognitive science emphasizes the strength of visual formalisms for human learning and problem solving. In software engineering, a clear, visual presentation of a system's arc...
Reinhard Schauer, Rudolf K. Keller
CORR
2007
Springer
94views Education» more  CORR 2007»
13 years 10 months ago
Statistical tools to assess the reliability of self-organizing maps
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...
Eric de Bodt, Marie Cottrell, Michel Verleysen
ICCV
2009
IEEE
13 years 8 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...