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IBPRIA
2005
Springer
16 years 4 days ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
SRDS
1997
IEEE
15 years 10 months ago
Fault Detection Using Hints from the Socket Layer
This paper describes a fault detection mechanism that uses the error codes returned by the stream sockets to locate process failures. Since these errors are generated automaticall...
Nuno Neves, W. Kent Fuchs
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
16 years 3 days ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
ICIP
2007
IEEE
15 years 6 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
ICASSP
2010
IEEE
15 years 5 months ago
Random attributed graphs for statistical inference from content and context
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck