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» The Optimal Distance Measure for Object Detection
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PR
2006
93views more  PR 2006»
13 years 7 months ago
Learning the kernel parameters in kernel minimum distance classifier
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICPR
2008
IEEE
14 years 2 months ago
A new multiobjective simulated annealing based clustering technique using stability and symmetry
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
Sriparna Saha, Sanghamitra Bandyopadhyay
JCSC
2000
106views more  JCSC 2000»
13 years 7 months ago
Implementation of a Long Range LRF by Automatic Multi-Mode Measurement Scheme
A long range Laser Range Finder (LRF) is proposed and developed in this paper. A mathematical model, which relates the relation between object distance and Position Sensitive Dete...
Manukid Parnichkun, Viraphan Samadi
CVPR
2001
IEEE
14 years 9 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
FUZZIEEE
2007
IEEE
14 years 2 months ago
Nonlinear Classification by Genetic Algorithm with Signed Fuzzy Measure
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
Honggang Wang, Hua Fang, Hamid Sharif, Zhenyuan Wa...