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» Advanced High Performance Algorithms for Data Processing
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EDM
2010
145views Data Mining» more  EDM 2010»
15 years 8 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
BIBE
2008
IEEE
272views Bioinformatics» more  BIBE 2008»
16 years 1 months ago
Design and implementation of the Smith-Waterman algorithm on the CUDA-compatible GPU
— This paper describes a design and implementation of the Smith-Waterman algorithm accelerated on the graphics processing unit (GPU). Our method is implemented using compute uniï...
Yuma Munekawa, Fumihiko Ino, Kenichi Hagihara
IRI
2007
IEEE
16 years 27 days ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
ICASSP
2008
IEEE
16 years 1 months ago
Compressive wireless arrays for bearing estimation
Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing result...
Volkan Cevher, Ali Cafer Gurbuz, James H. McClella...
GLOBECOM
2008
IEEE
16 years 1 months ago
Networked Embedded Systems: A Quantitative Performance Comparison
— Networked embedded systems are gaining more and more attention and their use in current network scenarios is of indisputable importance. Research community and industry are pro...
Alessio Botta, Walter de Donato, Antonio Pescap&eg...