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» Detecting Change in Data Streams
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CVPR
2004
IEEE
14 years 11 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
PVLDB
2010
134views more  PVLDB 2010»
13 years 7 months ago
High-Performance Dynamic Pattern Matching over Disordered Streams
Current pattern-detection proposals for streaming data recognize the need to move beyond a simple regular-expression model over strictly ordered input. We continue in this directi...
Badrish Chandramouli, Jonathan Goldstein, David Ma...
VIS
2004
IEEE
127views Visualization» more  VIS 2004»
14 years 10 months ago
Stream Line and Path Line Oriented Topology for 2D Time-Dependent Vector Fields
Topological methods aim at the segmentation of a vector field into areas of different flow behavior. For 2D time-dependent vector fields, two such segmentations are possible: eith...
Hans-Christian Hege, Hans-Peter Seidel, Holger The...
JMM2
2007
127views more  JMM2 2007»
13 years 9 months ago
The Cut Detection Issue in the Animation Movie Domain
— In this paper we are proposing an improved cut detection algorithm adapted to the animation movies domain. A cut is the direct concatenation of two different shots and produces...
Bogdan Ionescu, Patrick Lambert, Didier Coquin, Va...
GIS
2007
ACM
14 years 10 months ago
Approximate order-k Voronoi cells over positional streams
Handling streams of positional updates from numerous moving objects has become a challenging task for many monitoring applications. Several algorithms have been recently proposed ...
Kostas Patroumpas, Theofanis Minogiannis, Timos K....