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ICSE
2003
IEEE-ACM
15 years 11 months ago
A Tutorial on Feature Oriented Programming and Product-Lines
ct Feature Oriented Programming (FOP) is a design methodology and tools for program synthesis. The goal is to specify a target program in terms of the features that it offers, and ...
Don S. Batory
CIKM
2011
Springer
14 years 6 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 6 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
ECCV
2006
Springer
16 years 8 months ago
Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Dahua Lin, Xiaoou Tang
ECCV
2010
Springer
15 years 6 months ago
Efficient Computation of Scale-Space Features for Deformable Shape Correspondences
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...
Tingbo Hou, Hong Qin