1825 search results - page 99 / 365 » Local Dimensionality Reduction |
106
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
92
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NIPS
2008
15 years 2 months ago
2008
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
212
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SIGMOD
2009
ACM
16 years 25 days ago
2009
ACM
Nearest neighbor (NN) search in high dimensional space is an important problem in many applications. Ideally, a practical solution (i) should be implementable in a relational data...
APL
1995
ACM
15 years 4 months ago
1995
ACM
The behavior of one and two dimensional automata are displayed in two and three dimensions and via animations. Implementations of finite automata in J using "infix" and ...
102
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ECCV
1992
Springer
16 years 2 months ago
1992
Springer
Abstract. Binocular di erences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine v...