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CAMP
2005
IEEE
16 years 10 days ago
Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems
Abstract— Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all senso...
Roberto Pirrone, Giuseppe Careri, F. Saverio Fabia...
182
Voted
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
170
Voted
HPDC
1999
IEEE
15 years 11 months ago
Remote Application Scheduling on Metacomputing Systems
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Heath A. James, Kenneth A. Hawick
214
Voted
IPPS
2007
IEEE
16 years 1 months ago
An Adaptive Semantic Filter for Blue Gene/L Failure Log Analysis
— Frequent failure occurrences are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in ...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...
WWW
2004
ACM
16 years 7 months ago
CC-Buddy: an adaptive framework for maintaining cache coherency using peers
In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-to-peer environment. Working on the basis of peer heterogeneity in data coher...
Song Gao, Wee Siong Ng, Weining Qian, Aoying Zhou