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» Challenges for biologically-inspired computing
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SIGMOD
2007
ACM
181views Database» more  SIGMOD 2007»
16 years 6 months ago
Progressive and selective merge: computing top-k with ad-hoc ranking functions
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
Dong Xin, Jiawei Han, Kevin Chen-Chuan Chang
ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
16 years 3 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras
SEUS
2009
IEEE
16 years 24 days ago
Using Context Awareness to Improve Quality of Information Retrieval in Pervasive Computing
Publish-subscribe-query information broker middleware offers great promise to users of pervasive computing systems requiring access to information. However, users of publish-subscr...
Joseph P. Loyall, Richard E. Schantz
DATE
2006
IEEE
114views Hardware» more  DATE 2006»
16 years 3 days ago
An efficient static algorithm for computing the soft error rates of combinational circuits
Soft errors have emerged as an important reliability challenge for nanoscale VLSI designs. In this paper, we present a fast and efficient soft error rate (SER) computation algorit...
Rajeev R. Rao, Kaviraj Chopra, David Blaauw, Denni...
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
16 years 3 days ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...