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ECCV
2010
Springer
15 years 11 months ago
Discriminative Tracking by Metric Learning
We present a discriminative model that casts appearance modeling and visual matching into a single objective for visual tracking. Most previous discriminative models for visual tra...
CVPR
2007
IEEE
16 years 9 months ago
Learning the Compositional Nature of Visual Objects
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling ...
Björn Ommer, Joachim M. Buhmann
WWW
2006
ACM
16 years 8 months ago
Learning and inferencing in user ontology for personalized semantic web services
Domain ontology has been used in many Semantic Web applications. However, few applications explore the use of ontology for personalized services. This paper proposes an ontology b...
Xing Jiang, Ah-Hwee Tan
CIKM
2005
Springer
16 years 29 days ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
16 years 25 days ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha