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CVPR
2007
IEEE
14 years 11 months ago
A Bio-inspired Learning Approach for the Classification of Risk Zones in a Smart Space
Learning from experience is a basic task of human brain that is not yet fulfilled satisfactorily by computers. Therefore, in recent years to cope with this issue, bio-inspired app...
Alessio Dore, Matteo Pinasco, Carlo S. Regazzoni
CMOT
2010
203views more  CMOT 2010»
13 years 6 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
ACCV
2009
Springer
14 years 3 months ago
Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach
Abstract. This paper presents a novel nonparametric clustering algorithm called evolving mean shift (EMS) algorithm. The algorithm iteratively shrinks a dataset and generates well ...
Qi Zhao, Zhi Yang, Hai Tao, Wentai Liu
DATE
2009
IEEE
120views Hardware» more  DATE 2009»
14 years 3 months ago
Overcoming limitations of the SystemC data introspection
—Today verification, testing and debugging of SystemC models can be applied at an early stage in the design process. To support these techniques gaining required information of ...
Christian Genz, Rolf Drechsler
NIPS
2003
13 years 10 months ago
Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data
Discrete Fourier transforms and other related Fourier methods have been practically implementable due to the fast Fourier transform (FFT). However there are many situations where ...
Amos J. Storkey