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PAMI
2007
156views more  PAMI 2007»
14 years 9 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
AAAI
2011
13 years 9 months ago
Size Adaptive Selection of Most Informative Features
In this paper, we propose a novel method to select the most informative subset of features, which has little redundancy and very strong discriminating power. Our proposed approach...
Si Liu, Hairong Liu, Longin Jan Latecki, Shuicheng...
ICPR
2006
IEEE
15 years 11 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
CHI
2006
ACM
15 years 10 months ago
Gaze-based interaction for semi-automatic photo cropping
We present an interactive method for cropping photographs given minimal information about the location of important content, provided by eye tracking. Cropping is formulated in a ...
Anthony Santella, Maneesh Agrawala, Douglas DeCarl...
RECOMB
2003
Springer
15 years 10 months ago
Joint classifier and feature optimization for cancer diagnosis using gene expression data
Recent research has demonstrated quite convincingly that accurate cancer diagnosis can be achieved by constructing classifiers that are designed to compare the gene expression pro...
Balaji Krishnapuram, Lawrence Carin, Alexander J. ...