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CEC
2010
IEEE
13 years 8 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
CVPR
2007
IEEE
14 years 9 months ago
Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description
Two major limitations of real-time visual SLAM algorithms are the restricted range of views over which they can operate and their lack of robustness when faced with erratic camera...
Denis Chekhlov, Mark Pupilli, Walterio W. Mayol-Cu...
IMC
2006
ACM
14 years 1 months ago
The need for cross-layer information in access point selection algorithms
The low price of commodity wireless LAN cards and access points (APs) has resulted in the rich proliferation of high density WLANs in enterprise, academic environments, and public ...
Karthikeyan Sundaresan, Konstantina Papagiannaki
IBPRIA
2005
Springer
14 years 1 months ago
Extended Bi-gram Features in Text Categorization
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
Xian Zhang, Xiaoyan Zhu
TKDE
2008
111views more  TKDE 2008»
13 years 7 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung