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» An Annotation-Based Framework for Parallel Computing
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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
14 years 1 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
IEEEPACT
2006
IEEE
14 years 1 months ago
Two-level mapping based cache index selection for packet forwarding engines
Packet forwarding is a memory-intensive application requiring multiple accesses through a trie structure. The efficiency of a cache for this application critically depends on the ...
Kaushik Rajan, Ramaswamy Govindarajan
RTSS
2006
IEEE
14 years 1 months ago
Run-Time Services for Hybrid CPU/FPGA Systems on Chip
Modern FPGA devices, which include (multiple) processor core(s) as diffused IP on the silicon die, provide an excellent platform for developing custom multiprocessor systems-on-pr...
Jason Agron, Wesley Peck, Erik Anderson, David L. ...
INFOVIS
2005
IEEE
14 years 29 days ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
ECAL
2005
Springer
14 years 27 days ago
A Self-organising, Self-adaptable Cellular System
Abstract. Inspired by the recent advances in evolutionary biology, we have developed a self-organising, self-adaptable cellular system for multitask learning. The main aim of our p...
Lucien Epiney, Mariusz Nowostawski