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» Boosting Image Retrieval
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97
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ICPR
2008
IEEE
15 years 10 months ago
Image quality assessment with visual attention
Image quality assessment (IQA) is of great importance for many image processing applications. Some IQA indexes proposed recently more or less try to boost their performance to acc...
Qi Ma, Liming Zhang
128
Voted
ICASSP
2007
IEEE
15 years 10 months ago
Discriminative Gaussian Mixtures for Interactive Image Segmentation
Recently graph-cut optimization has been extensively explored for interactive image segmentation. In this paper we propose Discriminative Gaussian Mixtures (DGMs) to boost the per...
Jue Wang
121
Voted
FGR
2006
IEEE
159views Biometrics» more  FGR 2006»
15 years 9 months ago
A Near-infrared Image Based Face Recognition System
In this paper, we present a near infrared (NIR) image based face recognition system. Firstly, we describe a design of NIR image capture device which minimizes influence of enviro...
Stan Z. Li, Lun Zhang, ShengCai Liao, XiangXin Zhu...
127
Voted
ICPR
2010
IEEE
15 years 2 months ago
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...
119
Voted
ISBI
2008
IEEE
16 years 4 months ago
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images
In this work we present a novel approach for learning nonhomogenous textures without facing the unlearning problem. Our learning method mimics the human behavior of selective lear...
Noah Lee, Andrew F. Laine, Theodore R. Smith