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» Two Graph Algorithms On an Associative Computing Model
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IPPS
1999
IEEE
15 years 8 months ago
Experimental Evaluation of QSM, a Simple Shared-Memory Model
Parallel programming models should attempt to satisfy two conflicting goals. On one hand, they should hide architectural details so that algorithm designers can write simple, port...
Brian Grayson, Michael Dahlin, Vijaya Ramachandran
JMLR
2008
230views more  JMLR 2008»
15 years 4 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
CVPR
2009
IEEE
16 years 10 months ago
A Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates
Density of moles is a strong predictor of malignant melanoma. Some dermatologists advocate periodic fullbody scan for high-risk patients. In current practice, physicians compare...
Ghassan Hamarneh, Hengameh Mirzaalian, Tim K. Lee
PVLDB
2010
146views more  PVLDB 2010»
14 years 10 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 4 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...