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» Data streams: algorithms and applications
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ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
16 years 1 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
16 years 12 days ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...
ICMCS
2006
IEEE
99views Multimedia» more  ICMCS 2006»
16 years 12 days ago
Near-Future Streaming Framework for 3D-TV Applications
This paper presents a layered framework for 3D-TV applications, combining multiview and depth-image based approaches in a scalable fashion. To solve the problem of missing data du...
Goran Petrovic, Peter N. De With
ACMACE
2006
ACM
16 years 10 days ago
Wireless home entertainment center: reducing last hop delays for real-time applications
Future digital entertainment services available to home users will share several characteristics: i) they will be deployed and delivered through the Internet, ii) a single media c...
Claudio E. Palazzi, Giovanni Pau, Marco Roccetti, ...
ICDT
2009
ACM
148views Database» more  ICDT 2009»
16 years 7 months ago
Tight results for clustering and summarizing data streams
In this paper we investigate algorithms and lower bounds for summarization problems over a single pass data stream. In particular we focus on histogram construction and K-center c...
Sudipto Guha