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» Feature Mining for Image Classification
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CIKM
2008
Springer
13 years 9 months ago
Structure feature selection for graph classification
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Hongliang Fei, Jun Huan
ICIP
2006
IEEE
14 years 9 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
ICIP
2003
IEEE
14 years 9 months ago
Rotation-invariant features based on steerable transforms with an application to distributed image classification
In this paper, we propose a new rotation-invariant image retrieval system based on steerable pyramids and the concept of angular alignment across scales. First, we define energy-b...
Baltasar Beferull-Lozano, Antonio Ortega, Hua Xie
ICIP
2010
IEEE
13 years 5 months ago
Geometrical features for the classification of very high resolution multispectral remote-sensing images
In order to extract geometrical features from a multispectral image and derive a classification, an approach based on the topographic map of the image is proposed. For each pixel,...
Bin Luo, Jocelyn Chanussot
ADMA
2010
Springer
248views Data Mining» more  ADMA 2010»
13 years 5 months ago
Classification Inductive Rule Learning with Negated Features
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
Stephanie Chua, Frans Coenen, Grant Malcolm