78 search results - page 9 / 16 » Learning similarity measures in non-orthogonal space |
128
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MM
2004
ACM
15 years 5 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
ICCBR
2009
Springer
15 years 6 months ago
2009
Springer
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
108
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CLEF
2006
Springer
15 years 3 months ago
2006
Springer
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
CVPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
118
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...