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» Feature Mining for Image Classification
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CVPR
2005
IEEE
15 years 12 months ago
Learning Feature Distance Measures for Image Correspondences
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
Xi Chen, Tat-Jen Cham
SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 7 days ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman
PKDD
2010
Springer
194views Data Mining» more  PKDD 2010»
14 years 7 months ago
Weighted Symbols-Based Edit Distance for String-Structured Image Classification
As an alternative to vector representations, a recent trend in image classification suggests to integrate additional structural information in the description of images in order to...
Cécile Barat, Christophe Ducottet, É...
ICISP
2010
Springer
15 years 2 months ago
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
Guangzhe Fan, Zhou Wang, Seoung Bum Kim, Chivalai ...
ICIP
2006
IEEE
15 years 11 months ago
Texture Classification with Ants
In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The propo...
Arshad Hussain, Nasir Rajpoot, Kashif Rajpoot