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ASPDAC
2009
ACM
115views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Incremental and on-demand random walk for iterative power distribution network analysis
— Power distribution networks (PDNs) are designed and analyzed iteratively. Random walk is among the most efficient methods for PDN analysis. We develop in this paper an increme...
Yiyu Shi, Wei Yao, Jinjun Xiong, Lei He
ICML
2009
IEEE
16 years 7 months ago
Graph construction and b-matching for semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conv...
Tony Jebara, Jun Wang, Shih-Fu Chang
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
16 years 1 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
JSSPP
2009
Springer
16 years 1 months ago
Modeling Parallel System Workloads with Temporal Locality
In parallel systems, similar jobs tend to arrive within bursty periods. This fact leads to the existence of the locality phenomenon, a persistent similarity between nearby jobs, in...
Tran Ngoc Minh, Lex Wolters
FPGA
2009
ACM
200views FPGA» more  FPGA 2009»
16 years 1 months ago
FPGA-based front-end electronics for positron emission tomography
Modern Field Programmable Gate Arrays (FPGAs) are capable of performing complex discrete signal processing algorithms with clock rates above 100MHz. This combined with FPGA’s lo...
Michael Haselman, Robert Miyaoka, Thomas K. Lewell...