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» On Combining Dissimilarity Representations
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CVPR
2010
IEEE
14 years 2 months ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
HICSS
2009
IEEE
150views Biometrics» more  HICSS 2009»
14 years 1 months ago
An N-Gram Based Approach to Automatically Identifying Web Page Genre
The research reported in this paper is the first phase of a larger project on the automatic classification of web pages by their genres, using ngram representations of the web pag...
Jane E. Mason, Michael A. Shepherd, Jack Duffy
CVPR
2005
IEEE
14 years 20 days ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
PR
2006
102views more  PR 2006»
13 years 7 months ago
Prototype selection for dissimilarity-based classifiers
A conventional way to discriminate between objects represented by dissimilarities is the nearest neighbor method. A more efficient and sometimes a more accurate solution is offere...
Elzbieta Pekalska, Robert P. W. Duin, Pavel Pacl&i...
ICMCS
2006
IEEE
141views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Optimal Linear Combination of Denoising Schemes for Efficient Removal of Image Artifacts
Different denoising schemes show dissimilar types of artifacts. For example, certain transform-based denoising schemes could introduce artifacts in smooth regions while others eli...
Ramin Eslami, Hayder Radha