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CLOUD
2010
ACM
14 years 1 months ago
Comet: batched stream processing for data intensive distributed computing
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
ICDCS
2002
IEEE
14 years 1 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
SIGMETRICS
2010
ACM
208views Hardware» more  SIGMETRICS 2010»
14 years 29 days ago
Dynamics in congestion games
Game theoretic modeling and equilibrium analysis of congestion games have provided insights in the performance of Internet congestion control, road transportation networks, etc. D...
Devavrat Shah, Jinwoo Shin
EPIA
1999
Springer
14 years 13 days ago
Improving Optical Music Recognition by Means of Abductive Constraint Logic Programming
In this paper we propose a hybrid system that bridges the gap between traditional image processing methods, used for low-level object recognition, and abductive constraint logic pr...
Miguel Ferrand, João Alexandre Leite, Am&ia...
SIGGRAPH
1993
ACM
14 years 7 days ago
Radioptimization: goal based rendering
This paper presents a method for designing the illumination in an environment using optimization techniques applied to a radiosity based image synthesis system. An optimization of...
John K. Kawai, James S. Painter, Michael F. Cohen