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» A RELIEF Based Feature Extraction Algorithm
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SIBGRAPI
2003
IEEE
14 years 1 months ago
Using Efficient Visual Exploration Techniques to Evaluate Features for Content-Based Image Retrieval
This paper presents a novel visual approach to evaluate, in a fast and effective way, the development of new image feature extraction techniques concerning content-based image ret...
José Fernando Rodrigues Jr., César A...
ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
14 years 1 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
COMSIS
2010
13 years 6 months ago
3D mesh skeleton extraction using prominent segmentation
Skeleton of 3D mesh is a fundamental shape feature, and is useful for shape description and other many applications in 3D Digital Geometry Processing. This paper presents a novel s...
Xiaopeng Sun, J. Pan, Xiaopeng Wei
FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
13 years 2 days ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
DSMML
2004
Springer
14 years 2 months ago
SVM Based Learning System for Information Extraction
Abstract. We present an SVM-based learning algorithm for information extraction, including experiments on the influence of different algorithm settings. Our approach needs fewer ...
Yaoyong Li, Kalina Bontcheva, Hamish Cunningham