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» Detecting and Clustering Multiple Takes of One Scene
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IWINAC
2011
Springer
12 years 10 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 5 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
BMCBI
2007
182views more  BMCBI 2007»
13 years 8 months ago
EDISA: extracting biclusters from multiple time-series of gene expression profiles
Background: Cells dynamically adapt their gene expression patterns in response to various stimuli. This response is orchestrated into a number of gene expression modules consistin...
Jochen Supper, Martin Strauch, Dierk Wanke, Klaus ...
3DPVT
2006
IEEE
231views Visualization» more  3DPVT 2006»
13 years 11 months ago
Simplified Belief Propagation for Multiple View Reconstruction
We address multiple-view reconstruction under an optimization approach based on belief propagation. A novel formulation of belief propagation that operates in 3-D is proposed to f...
E. Scott Larsen, Philippos Mordohai, Marc Pollefey...
ICCV
2001
IEEE
14 years 9 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...