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» Nonlinear Component Analysis as a Kernel Eigenvalue Problem
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TNN
2008
182views more  TNN 2008»
14 years 11 months ago
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Ivor Wai-Hung Tsang, András Kocsor, James T...
MMM
2009
Springer
169views Multimedia» more  MMM 2009»
15 years 8 months ago
Personalized Image Recommendation
—In this paper, we have developed a novel framework called JustClick to enable personalized image recommendation via exploratory search from large-scale collections of manuallyan...
Yuli Gao, Hangzai Luo, Jianping Fan
CAIP
2009
Springer
200views Image Analysis» more  CAIP 2009»
15 years 6 months ago
Recognition-Based Segmentation of Nom Characters from Body Text Regions of Stele Images Using Area Voronoi Diagram
Segmentation of Nom characters from body text regions of stele images is a challenging problem due to the confusing spatial distribution of the connected components composing these...
Thai V. Hoang, Salvatore Tabbone, Ngoc-Yen Pham
PAMI
2006
132views more  PAMI 2006»
14 years 11 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
ICCV
2009
IEEE
1184views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Learning Based Digital Matting
We cast some new insights into solving the digital matting problem by treating it as a semi-supervised learning task in machine learning. A local learning based approach and a g...
Yuanjie Zheng, Chandra Kambhamettu