403 search results - page 23 / 81 » Metric and Kernel Learning Using a Linear Transformation |
134
Voted
JMLR
2006
15 years 1 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
128
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CORR
2012
Springer
13 years 9 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
154
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SCALESPACE
2009
Springer
15 years 8 months ago
2009
Springer
From an image we construct an invertible orientation score, which provides an overview of local orientations in an image. This orientation score is a function on the group SE(2) of...
129
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ALT
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
94
Voted
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Constrained discriminative linear transform (CDLT) optimized with Extended Baum-Welch (EBW) has been presented in the literature as a discriminative speaker adaptation method that...