403 search results - page 15 / 81 » Metric and Kernel Learning Using a Linear Transformation |
141
Voted
TIFS
2010
14 years 8 months ago
2010
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
163
Voted
DAGM
2011
Springer
14 years 1 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
123
Voted
COLING
2008
15 years 3 months ago
2008
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
TMI
2002
15 years 1 months ago
2002
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
150
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...