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» Maximal Vector Computation in Large Data Sets
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VIS
2004
IEEE
127views Visualization» more  VIS 2004»
14 years 10 months ago
Stream Line and Path Line Oriented Topology for 2D Time-Dependent Vector Fields
Topological methods aim at the segmentation of a vector field into areas of different flow behavior. For 2D time-dependent vector fields, two such segmentations are possible: eith...
Hans-Christian Hege, Hans-Peter Seidel, Holger The...
TVCG
2008
70views more  TVCG 2008»
13 years 9 months ago
Visualizing Incomplete and Partially Ranked Data
Ranking data, which result from m raters ranking n items, are difficult to visualize due to their discrete algebraic structure, and the computational difficulties associated with t...
Paul Kidwell, Guy Lebanon, William S. Cleveland
NIPS
2007
13 years 10 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
AP2PC
2007
Springer
13 years 10 months ago
Enabling Grassroots Distributed Computing with CompTorrent
This paper describes the operational characteristics of “CompTorrent”, a general purpose distributed computing platform that provides a low entry cost to creating new distribut...
Bradley Goldsmith
FPGA
2006
ACM
156views FPGA» more  FPGA 2006»
14 years 27 days ago
A reconfigurable architecture for network intrusion detection using principal component analysis
In this paper, we develop an architecture for principal component analysis (PCA) to be used as an outlier detection method for high-speed network intrusion detection systems (NIDS...
David T. Nguyen, Gokhan Memik, Alok N. Choudhary