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» A Framework for Implicitly Tracking Data
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97
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IJCV
2002
84views more  IJCV 2002»
15 years 3 months ago
Algorithmic Fusion for More Robust Feature Tracking
We present a framework for merging the results of independent featurebased motion trackers using a classification based approach. We demonstrate the efficacy of the framework usin...
Brendan McCane, Ben Galvin, Kevin Novins
146
Voted
SIGIR
2009
ACM
15 years 10 months ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
ECCV
2008
Springer
15 years 5 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Charles Bibby, Ian D. Reid
128
Voted
ICPR
2010
IEEE
15 years 7 months ago
Learning a Joint Manifold Representation from Multiple Data Sets
—The problem we address in the paper is how to learn a joint representation from data lying on multiple manifolds. We are given multiple data sets and there is an underlying comm...
Marwan Torki, Ahmed Elgammal, Chan-Su Lee
127
Voted
FDBS
2001
92views more  FDBS 2001»
15 years 4 months ago
Integrating Data and Probabilistically Structured Text Documents
Commercial, non-profit and public organizations are accumulating huge amounts of electronically available text documents. Although composed of unstructured texts, documents contai...
Karsten Winkler, Myra Spiliopoulou