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TJS
2010
182views more  TJS 2010»
13 years 4 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 6 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
ICCV
2005
IEEE
14 years 7 months ago
A Supervised Learning Framework for Generic Object Detection in Images
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...
Saad Ali, Mubarak Shah
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
14 years 7 months ago
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
RECOMB
2004
Springer
14 years 6 months ago
Computational identification of evolutionarily conserved exons
Phylogenetic hidden Markov models (phylo-HMMs) have recently been proposed as a means for addressing a multispecies version of the ab initio gene prediction problem. These models ...
Adam C. Siepel, David Haussler