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» Learning to Classify X-Ray Images Using Relational Learning
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ECCV
2008
Springer
13 years 10 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
AIR
1998
160views more  AIR 1998»
13 years 8 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...
HVEI
2010
13 years 6 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
CVPR
2005
IEEE
14 years 10 months ago
Local Discriminant Embedding and Its Variants
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
ECCV
2008
Springer
14 years 10 months ago
Face Alignment Via Component-Based Discriminative Search
In this paper, we propose a component-based discriminative approach for face alignment without requiring initialization1 . Unlike many approaches which locally optimize in a small ...
Lin Liang, Rong Xiao, Fang Wen, Jian Sun