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363views
12 years 7 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
APWEB
2005
Springer
14 years 2 months ago
An LOD Model for Graph Visualization and Its Application in Web Navigation
This paper presents a new method for visualizing and navigating huge graphs. The main feature of this method is that it applies Level-Of-Detail (LOD) strategy to graph visualizati...
Shixia Liu, Yue Pan, Liping Yang, Wenyin Liu
NIPS
2003
13 years 10 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 9 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
BMCBI
2010
104views more  BMCBI 2010»
13 years 9 months ago
A novel scoring function for discriminating hyperthermophilic and mesophilic proteins with application to predicting relative th
Background: The ability to design thermostable proteins is theoretically important and practically useful. Robust and accurate algorithms, however, remain elusive. One critical pr...
Yunqi Li, C. Russell Middaugh, Jianwen Fang