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141
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CVPR
2012
IEEE
13 years 3 months ago
Robust late fusion with rank minimization
In this paper, we propose a rank minimization method to fuse the predicted confidence scores of multiple models, each of which is obtained based on a certain kind of feature. Spe...
Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
GIS
2005
ACM
16 years 1 months ago
ASPEN: an adaptive spatial peer-to-peer network
Geographic Information Systems (GIS) are increasingly managing very large sets of data and hence a centralized data repository may not always provide the most scalable solution. H...
Haojun Wang, Roger Zimmermann, Wei-Shinn Ku
103
Voted
CLUSTER
2009
IEEE
15 years 7 months ago
Combining I/O operations for multiple array variables in parallel netCDF
—Parallel netCDF (PnetCDF) is a popular library used in many scientific applications to store scientific datasets. It provides high-performance parallel I/O while maintaining ...
Kui Gao, Wei-keng Liao, Alok N. Choudhary, Robert ...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
15 years 5 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens
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