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139
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IJON
2006
146views more  IJON 2006»
15 years 3 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
124
Voted
IVS
2006
127views more  IVS 2006»
15 years 3 months ago
Feature hiding in 3D human body scans
In this paper, we explore a privacy algorithm that detects human private parts in a 3D scan data set. The analogia graph is introduced to study the proportion of structures. The i...
Joseph Laws, Nathaniel Bauernfeind, Yang Cai 0002
127
Voted
PAMI
2002
112views more  PAMI 2002»
15 years 3 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
128
Voted
PR
2010
186views more  PR 2010»
15 years 2 months ago
Feature extraction by learning Lorentzian metric tensor and its extensions
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
Risheng Liu, Zhouchen Lin, Zhixun Su, Kewei Tang
154
Voted
ICST
2010
IEEE
15 years 1 months ago
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...