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CVPR
2009
IEEE
16 years 9 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detection...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
PAMI
2011
14 years 5 months ago
Robust Object Tracking with Online Multiple Instance Learning
In this paper we address the problem of tracking an object in a video given its location in the first frame and no other information. Recently, a class of tracking techniques cal...
Boris Babenko, Ming-Hsuan Yang, Serge Belongie
ECML
2006
Springer
15 years 6 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
WEBI
2010
Springer
15 years 7 days ago
Learning in Presence of Ontology Mapping Errors
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
Neeraj Koul, Vasant Honavar
ISMIR
2004
Springer
134views Music» more  ISMIR 2004»
15 years 7 months ago
Extracting Melody Lines From Complex Audio
We propose a system which extracts the melody line played by a solo instrument from complex audio. At every time frame multiple fundamental frequency (F0) hypotheses are generated...
Jana Eggink, Guy J. Brown