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» Experimental Comparison of Feature Subset Selection Methods
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ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
15 years 2 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
158
Voted
VISUALIZATION
2002
IEEE
15 years 7 months ago
Comparative Evaluation of Visualization and Experimental Results Using Image Comparison Metrics
Comparative evaluation of visualization and experiment results is a critical step in computational steering. In this paper, we present a study of image comparison metrics for quan...
Hualin Zhou, Min Chen, Mike F. Webster
EWCBR
2006
Springer
15 years 6 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
ICIP
2006
IEEE
16 years 4 months ago
Robust Object Detection using Fast Feature Selection from Huge Feature Sets
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
Duy-Dinh Le, Shin'ichi Satoh
123
Voted
DMIN
2007
203views Data Mining» more  DMIN 2007»
15 years 4 months ago
Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG
— The application of feature selection techniques greatly reduces the computational cost of classifying highdimensional data. Feature selection algorithms of varying performance ...
Lauren Burrell, Otis Smart, George J. Georgoulas, ...