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» Highly Scalable Rough Set Reducts Generation
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ITCC
2005
IEEE
14 years 3 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
14 years 11 months ago
Scalable Peer-to-Peer Web Retrieval with Highly Discriminative Keys
The suitability of Peer-to-Peer (P2P) approaches for fulltext web retrieval has recently been questioned because of the claimed unacceptable bandwidth consumption induced by retri...
Ivana Podnar, Martin Rajman, Toan Luu, Fabius Klem...
ICCD
2008
IEEE
117views Hardware» more  ICCD 2008»
14 years 6 months ago
Two dimensional highly associative level-two cache design
High associativity is important for level-two cache designs [9]. Implementing CAM-based Highly Associative Caches (CAM-HAC), however, is both costly in hardware and exhibits poor s...
Chuanjun Zhang, Bing Xue
COMSWARE
2007
IEEE
14 years 4 months ago
Scalable Multicast Platforms for a New Generation of Robust Distributed Applications
1 As distributed systems scale up and are deployed into increasingly sensitive settings, demand is rising for a new generation of communications middleware in support of applicati...
Ken Birman, Mahesh Balakrishnan, Danny Dolev, Tudo...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 7 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...