148 search results - page 17 / 30 » Feature space perspectives for learning the kernel |
88
Voted
NAACL
2007
15 years 3 months ago
2007
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a reg...
91
Voted
TSP
2008
15 years 1 months ago
2008
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
106
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
140
Voted
KDD
2007
ACM
16 years 2 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
126
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....