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» Incremental Subspace Clustering over Multiple Data Streams
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CLOUD
2010
ACM
14 years 24 days 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...
ICCS
2007
Springer
14 years 1 months ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
ICDCS
2010
IEEE
13 years 9 months ago
CacheCast: Eliminating Redundant Link Traffic for Single Source Multiple Destination Transfers
Due to the lack of multicast services in the Internet, applications based on single source multiple destinations transfers such as video conferencing, IP radio, IPTV must use unica...
Piotr Srebrny, Thomas Plagemann, Vera Goebel, Andr...
ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
14 years 2 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 9 months ago
SWAT: Hierarchical Stream Summarization in Large Networks
The problem of statistics and aggregate maintenance over data streams has gained popularity in recent years especially in telecommunications network monitoring, trend-related anal...
Ahmet Bulut, Ambuj K. Singh