733 search results - page 80 / 147 » Learning Riemannian Metrics |
SLSFS
2005
Springer
14 years 3 months ago
2005
Springer
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
PAMI
2012
12 years 1 days ago
2012
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...