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» Feature Mining for Image Classification
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PAKDD
2005
ACM
114views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Increasing Classification Accuracy by Combining Adaptive Sampling and Convex Pseudo-Data
The availability of microarray data has enabled several studies on the application of aggregated classifiers for molecular classification. We present a combination of classifier ag...
Chia Huey Ooi, Madhu Chetty
ICIP
2000
IEEE
15 years 11 months ago
Unsupervised Color Texture Feature Extraction and Selection for Soccer Image Segmentation
In this paper, we describe a new approach for color texture featureextraction and selection. We definecolortexturefeatures as texture features which are computed by taking into ac...
Nicolas Vandenbroucke, Ludovic Macaire, Jack-G&eac...
CEC
2010
IEEE
14 years 7 months ago
A grammar based Ant Programming algorithm for mining classification rules
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
Juan Luis Olmo, José Raúl Romero, Se...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
15 years 10 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
MVA
1996
109views Computer Vision» more  MVA 1996»
14 years 11 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka