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» A Model for the Prediction of R-tree Performance
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MM
2010
ACM
137views Multimedia» more  MM 2010»
15 years 6 months ago
Self-diagnostic peer-assisted video streaming through a learning framework
Quality control and resource optimization are challenging problems in peer-assisted video streaming systems, due to their large scales and unreliable peer behavior. Such systems a...
Di Niu, Baochun Li, Shuqiao Zhao
ICML
2009
IEEE
16 years 7 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
DATE
2005
IEEE
135views Hardware» more  DATE 2005»
16 years 1 days ago
Compositional Memory Systems for Multimedia Communicating Tasks
Conventional cache models are not suited for real-time parallel processing because tasks may flush each other’s data out of the cache in an unpredictable manner. In this way th...
Anca Mariana Molnos, Marc J. M. Heijligers, Sorin ...
CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 7 months ago
SCADS: Scale-Independent Storage for Social Computing Applications
Collaborative web applications such as Facebook, Flickr and Yelp present new challenges for storing and querying large amounts of data. As users and developers are focused more on...
Michael Armbrust, Armando Fox, David A. Patterson,...
LATIN
2004
Springer
15 years 11 months ago
Cost-Optimal Trees for Ray Shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applicat...
Hervé Brönnimann, Marc Glisse