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» Skew Detection via Principal Components Analysis
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CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
14 years 25 days ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
ITIIS
2010
172views more  ITIIS 2010»
13 years 6 months ago
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...
Ruoyu Yan, Qinghua Zheng, Haifei Li
ICCV
2003
IEEE
14 years 9 months ago
Learning a Locality Preserving Subspace for Visual Recognition
Previous works have demonstrated that the face recognition performance can be improved significantly in low dimensional linear subspaces. Conventionally, principal component analy...
Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zh...
FMCO
2003
Springer
114views Formal Methods» more  FMCO 2003»
14 years 22 days ago
Synchronous Closing and Flow Analysis for Model Checking Timed Systems
Abstract. Formal methods, in particular model checking, are increasingly accepted as integral part of system development. With large software systems beyond the range of fully auto...
Natalia Ioustinova, Natalia Sidorova, Martin Steff...
ICCV
2005
IEEE
14 years 9 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