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107
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ICPR
2008
IEEE
16 years 4 months ago
Combining content and structure similarity for XML document classification using composite SVM kernels
Combination of structure and content features is necessary for effective retrieval and classification of XML documents. Composite kernels provide a way for fusion of content and s...
Pabitra Mitra, Saptarshi Ghosh
ICIP
2010
IEEE
15 years 1 months ago
Image recognition using maximal cliques of interest points
This paper describes a method for extracting interest points in images and using interrelated groups or cliques to recognize structure common to pairs of images. Feature measureme...
Fred Stentiford, Ade Bamidele
150
Voted
CCIA
2005
Springer
15 years 5 months ago
Feature Selection and Outliers Detection with Genetic Algorithms and Neural Networks
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
Agusti Solanas, Enrique Romero, Sergio Góme...
115
Voted
GRC
2008
IEEE
15 years 4 months ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu
ICDAR
2011
IEEE
14 years 3 months ago
Recognizing Characters with Severe Perspective Distortion Using Hash Tables and Perspective Invariants
—In this paper, we present a novel method to recognize characters with severe perspective distortion using hash tables and perspective invariants. The proposed algorithm consists...
Pan Pan, Yuanping Zhu, Jun Sun 0004, Satoshi Naoi