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» A Unified Framework for Monitoring Data Streams in Real Time
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SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 9 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
ICMCS
2005
IEEE
126views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Semantic Routing and Filtering for Large-Scale Video Streams Monitoring
In this paper, we propose a semantic routing and filtering framework for large-scale monitoring of video streams. Our goal is to build a distributed system that at any given time ...
Ching-Yung Lin, Olivier Verscheure, Lisa Amini
IROS
2009
IEEE
168views Robotics» more  IROS 2009»
14 years 2 months ago
A stream-based hierarchical anchoring framework
— Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic leve...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
CIKM
2008
Springer
13 years 9 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
SDM
2007
SIAM
198views Data Mining» more  SDM 2007»
13 years 9 months ago
Learning from Time-Changing Data with Adaptive Windowing
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
Albert Bifet, Ricard Gavaldà