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» The Optimal Distance Measure for Object Detection
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PR
2006
93views more  PR 2006»
14 years 9 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
78
Voted
ICPR
2008
IEEE
15 years 4 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»
14 years 9 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
15 years 11 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
73
Voted
FUZZIEEE
2007
IEEE
15 years 4 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...