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RCIS
2010
15 years 2 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
TCS
2010
15 years 2 months ago
Incremental learning with temporary memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
Sanjay Jain, Steffen Lange, Samuel E. Moelius, San...
138
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TMI
2010
165views more  TMI 2010»
15 years 2 months ago
Spatio-Temporal Data Fusion for 3D+T Image Reconstruction in Cerebral Angiography
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
Andrew Copeland, Rami Mangoubi, Mukund N. Desai, S...
SIAMAM
2011
14 years 11 months ago
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor
Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric p...
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoli...
149
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JMLR
2010
206views more  JMLR 2010»
14 years 11 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...