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» Evaluating algorithms that learn from data streams
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KDD
2009
ACM
133views Data Mining» more  KDD 2009»
16 years 7 months ago
On the tradeoff between privacy and utility in data publishing
In data publishing, anonymization techniques such as generalization and bucketization have been designed to provide privacy protection. In the meanwhile, they reduce the utility o...
Tiancheng Li, Ninghui Li
ICPR
2010
IEEE
15 years 4 months ago
Learning Image Anchor Templates for Document Classification and Data Extraction
Image anchor templates are used in document image analysis for document classification, data localization, and other tasks. Current tools allow human operators to mark out small s...
Prateek Sarkar
IPPS
2007
IEEE
16 years 22 days ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
HIPEAC
2009
Springer
16 years 1 months ago
Mapping and Synchronizing Streaming Applications on Cell Processors
Developing streaming applications on heterogenous multi-processor architectures like the Cell is difficult. Currently, application developers need to know about hardware details t...
Maik Nijhuis, Herbert Bos, Henri E. Bal, Cé...
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
16 years 6 months ago
On-board analysis of uncalibrated data for a spacecraft at mars
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
Benyang Tang, Kiri Wagstaff, Rebecca Castañ...