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» Maintaining Nonparametric Estimators over Data Streams
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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...
SIGMOD
2006
ACM
238views Database» more  SIGMOD 2006»
14 years 8 months ago
Continuous monitoring of top-k queries over sliding windows
Given a dataset P and a preference function f, a top-k query retrieves the k tuples in P with the highest scores according to f. Even though the problem is well-studied in convent...
Kyriakos Mouratidis, Spiridon Bakiras, Dimitris Pa...
TCSV
2010
13 years 3 months ago
Cross-Layer Packet Retry Limit Adaptation for Video Transport Over Wireless LANs
Video transport over wireless networks requires retransmissions to successfully deliver video data to a receiver in case of packet loss, leading to increased delay time for the dat...
Chih-Ming Chen, Chia-Wen Lin, Yung-Chang Chen
IPPS
2007
IEEE
14 years 3 months ago
RASC: Dynamic Rate Allocation for Distributed Stream Processing Applications
In today’s world, stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely...
Yannis Drougas, Vana Kalogeraki
ICCV
2001
IEEE
14 years 10 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer