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» Optimizing for parallelism and data locality
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MICCAI
2007
Springer
16 years 1 months ago
Object Localization Based on Markov Random Fields and Symmetry Interest Points
We present an approach to detect anatomical structures by configurations of interest points, from a single example image. The representation of the configuration is based on Markov...
Branislav Micusík, Georg Langs, Horst Bisch...
AAAI
2012
13 years 3 months ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou
SIGSOFT
2009
ACM
16 years 1 months ago
SCA: a semantic conflict analyzer for parallel changes
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Danhua Shao, Sarfraz Khurshid, Dewayne E. Perry
IPPS
2007
IEEE
15 years 7 months ago
Towards A Better Understanding of Workload Dynamics on Data-Intensive Clusters and Grids
This paper presents a comprehensive statistical analysis of workloads collected on data-intensive clusters and Grids. The analysis is conducted at different levels, including Virt...
Hui Li, Lex Wolters
186
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SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
16 years 27 days ago
Efficient xml data dissemination with piggybacking
Content-based dissemination of XML data using the publishsubscribe paradigm is an effective means to deliver relevant data to interested data consumers. To meet the performance ch...
Chee Yong Chan, Yuan Ni