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» Methods for Dynamic Classifier Selection
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OOPSLA
2010
Springer
13 years 8 months ago
An input-centric paradigm for program dynamic optimizations
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
CBMS
2005
IEEE
14 years 3 months ago
Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma
The availability of modern imaging techniques such as Confocal Scanning Laser Tomography (CSLT) for capturing high-quality optic nerve images offer the potential for developing au...
Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, A...
IJCAI
2001
13 years 11 months ago
Active Learning for Class Probability Estimation and Ranking
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Maytal Saar-Tsechansky, Foster J. Provost
JEI
2008
93views more  JEI 2008»
13 years 10 months ago
Novel workflow for image-guided gamut mapping
We introduce a novel workflow that will hopefully open new directions of processing and improvement in image reproduction. Existing gamut mapping algorithms can be classified into ...
Asaf Golan, Hagit Hel-Or
IKE
2010
13 years 8 months ago
Potential Application of Contextual Information Processing To Data Mining
Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the pr...
Gregory Vert, Anitha Chennamaneni, S. Sitharama Iy...