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» Evaluating algorithms that learn from data streams
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ASPLOS
1998
ACM
15 years 8 months ago
Active Disks: Programming Model, Algorithms and Evaluation
Several application and technology trends indicate that it might be both pro table and feasible to move computation closer to the data that it processes. In this paper, we evaluat...
Anurag Acharya, Mustafa Uysal, Joel H. Saltz
ICDE
2007
IEEE
143views Database» more  ICDE 2007»
16 years 5 months ago
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Feifei Li, Jimeng Sun, Spiros Papadimitriou, Georg...
124
Voted
IJCV
2002
143views more  IJCV 2002»
15 years 3 months ago
Trinocular Stereo: A Real-Time Algorithm and its Evaluation
In telepresence applications each user is immersed in a rendered 3D-world composed from representations transmitted from remote sites. The challenge is to compute dense range data...
Jane Mulligan, Volkan Isler, Konstantinos Daniilid...
142
Voted
INFFUS
2008
175views more  INFFUS 2008»
15 years 4 months ago
Adaptive optimization of join trees for multi-join queries over sensor streams
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...
Joseph S. Gomes, Hyeong-Ah Choi
127
Voted
COLING
1996
15 years 5 months ago
Machine Translation Method Using Inductive Learning with Genetic Algorithms
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have c...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...