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TR
2010
204views Hardware» more  TR 2010»
13 years 2 months ago
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
ISVLSI
2007
IEEE
100views VLSI» more  ISVLSI 2007»
14 years 1 months ago
Vector Processing Support for FPGA-Oriented High Performance Applications
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor suppor...
Hongyan Yang, Shuai Wang, Sotirios G. Ziavras, Jie...
ICPR
2006
IEEE
14 years 8 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
KES
2000
Springer
13 years 11 months ago
Hierarchical growing cell structures: TreeGCS
We propose a hierarchical, unsupervised clustering algorithm (TreeGCS) based upon the Growing Cell Structure (GCS) neural network of Fritzke. Our algorithm improves an inconsisten...
Victoria J. Hodge, James Austin
JASIS
2007
122views more  JASIS 2007»
13 years 7 months ago
Exploiting parallelism to support scalable hierarchical clustering
A distributed memory parallel version of the group average Hierarchical Agglomerative Clustering algorithm is proposed to enable scaling the document clustering problem to large c...
Rebecca Cathey, Eric C. Jensen, Steven M. Beitzel,...