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» Resource Adaptive Periodicity Estimation of Streaming Data
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CLOUD
2010
ACM
15 years 3 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...
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Authenticating Multimedia Transmitted Over Wireless Networks: A Content-Aware Stream-Level Approach
We propose in this paper a novel content-aware stream-level approach to authenticating multimedia data transmitted over wireless networks. The proposed approach is fundamentally d...
Zhi Li, Yong Lian, Qibin Sun, Chang Chen
EDBT
2012
ACM
266views Database» more  EDBT 2012»
13 years 12 days ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Off-Line Motion Description for Fast Video Stream Generation in MPEG-4 AVC/H.264
The rate-distortion optimal mode decision as well as motion estimation adopted in H.264 brings a big challenge to realtime encoding and transcoding duo to the high computation com...
Yi Wang, Xiaoyan Sun, Feng Wu, Shipeng Li, Houqian...
JMLR
2010
146views more  JMLR 2010»
14 years 4 months ago
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...