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» Outlier Detection Using k-Nearest Neighbour Graph
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171
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ICTAI
2006
IEEE
16 years 12 days ago
Outlier Detection Using Random Walks
The discovery of objects with exceptional behavior is an important challenge from a knowledge discovery standpoint and has attracted much attention recently. In this paper, we pre...
H. D. K. Moonesinghe, Pang-Ning Tan
186
Voted
IJCAI
2007
15 years 7 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
170
Voted
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
15 years 8 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor
APSCC
2008
IEEE
16 years 26 days ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...
186
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BMCBI
2005
90views more  BMCBI 2005»
15 years 6 months ago
TMB-Hunt: An amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins
Background: Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative a...
Andrew G. Garrow, Alison Agnew, David R. Westhead