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CVPR
2005
IEEE
16 years 9 days ago
Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval
In this a novel supervised learning method is proposed to map low-level visualfeatures to high-level semantic conceptsfor region-based image retrieval. The contributions of thispa...
Wei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zh...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
16 years 8 days ago
Stability of Feature Selection Algorithms
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
16 years 8 days ago
Neighborhood issue in single-frame image super-resolution
Super-Resolution is the problem of generating one or a set of high-resolution images from one or a sequence of lowresolution frames. Most methods have been proposed for super-reso...
K. Su, Qi Tian, Qing Xue, Nicu Sebe, Jingsheng Ma
ICMCS
2005
IEEE
182views Multimedia» more  ICMCS 2005»
16 years 8 days ago
An integrated approach for generic object detection using kernel PCA and boosting
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...
Saad Ali, Mubarak Shah
KCAP
2005
ACM
16 years 7 days ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton