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» Feature Selection via Maximizing Fuzzy Dependency
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SSPR
2004
Springer
15 years 2 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...
KBSE
2008
IEEE
15 years 4 months ago
A Case Study on the Automatic Composition of Network Application Mashups
MaxMash is a tool that can compose select features of networked application and generate the source code for application mashups that can integrate those features. This paper pres...
Maxim Shevertalov, Spiros Mancoridis
FGR
2004
IEEE
130views Biometrics» more  FGR 2004»
15 years 1 months ago
Sparse Models for Gender Classification
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
Nicholas Costen, Martin Brown, Shigeru Akamatsu
ICMCS
2008
IEEE
174views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Cascaded classification with optimal candidate selection for effective place recognition
A two-stage cascaded classification approach with an optimal candidate selection scheme is proposed to recognize places using images taken by camera phones. An optimal acceptance ...
Yiqun Li, Joo-Hwee Lim, Hanlin Goh
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu