1148 search results - page 28 / 230 » Dimensionality Reduction with Image Data |
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SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
ACAL
2007
Springer
14 years 11 months ago
2007
Springer
This paper addresses the topic of how architectural visual experience can be represented and utilised by a software system. The long-term aim is to equip an artificial agent with ...
ICONIP
2004
14 years 11 months ago
2004
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a new dimensionality reduction method, the elastic embedding (EE), that optimises an intuitive, nonlinear objective function of the low-dimensional coordinates of the d...