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» Feature selection in scientific applications
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CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 3 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender
ISF
2010
164views more  ISF 2010»
13 years 7 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
ICIP
2001
IEEE
14 years 11 months ago
Facial parameter extraction system based on active contours
This paper addresses the application of active contours or snakes for location and tracking of facial features. Conventional snake approaches find the position of the snake by fin...
Montse Pardàs, Marcos Losada
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Internet Traffic Classification for Scalable QOS Provision
A new scheme that classifies the Internet traffic according to their application types for scalable QoS provision is proposed in this work. The traditional port-based classific...
Junghun Park, Hsiao-Rong Tyan, C. C. Jay Kuo
CGO
2004
IEEE
14 years 1 months ago
A Dynamically Tuned Sorting Library
Empirical search is a strategy used during the installation of library generators such as ATLAS, FFTW, and SPIRAL to identify the algorithm or the version of an algorithm that del...
Xiaoming Li, María Jesús Garzar&aacu...