566 search results - page 24 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
158
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PAMI
2008
15 years 3 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
125
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
119
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ICALT
2003
IEEE
15 years 8 months ago
2003
IEEE
Although the technical skills of pupils are quite high, the current approach to gain media literacy still focusses on updating software applying skills, rather than exploring the ...
ICONIP
2009
15 years 27 days ago
2009
Abstract. Wild rodents learn the danger-predicting meaning of predator bird calls through the paring of cues which are an aversive stimulus (immediate danger signal or unconditione...
166
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KDD
2012
ACM
13 years 5 months ago
2012
ACM
Digital storage of personal music collections and cloud-based music services (e.g. Pandora, Spotify) have fundamentally changed how music is consumed. In particular, automatically...