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» Experimental Comparison of Feature Subset Selection Methods
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CVPR
2005
IEEE
15 years 11 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 6 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ICASSP
2011
IEEE
14 years 10 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
ICMCS
2007
IEEE
192views Multimedia» more  ICMCS 2007»
16 years 15 days ago
Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval
Breast cancer is one of the most common diseases among women. Content-based mammogram retrieval has been proposed to aid various medical procedures. To develop a content-based mam...
Chia-Hung Wei, Yue Li, Chang-Tsun Li
IVC
2006
259views more  IVC 2006»
15 years 6 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao