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» Discriminative Clustering via Generative Feature Mapping
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CVPR
2007
IEEE
14 years 1 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
CICLING
2007
Springer
14 years 1 months ago
Unsupervised Discrimination of Person Names in Web Contexts
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
Ted Pedersen, Anagha Kulkarni
ICASSP
2008
IEEE
14 years 1 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis
ICML
2009
IEEE
14 years 7 months ago
Learning non-redundant codebooks for classifying complex objects
Codebook-based representations are widely employed in the classification of complex objects such as images and documents. Most previous codebook-based methods construct a single c...
Wei Zhang, Akshat Surve, Xiaoli Fern, Thomas G. Di...
IJCV
2006
171views more  IJCV 2006»
13 years 6 months ago
Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
We develop a method for the estimation of articulated pose, such as that of the human body or the human hand, from a single (monocular) image. Pose estimation is formulated as a s...
Rómer Rosales, Stan Sclaroff