576 search results - page 29 / 116 » Structured metric learning for high dimensional problems |
SIGMOD
1998
ACM
15 years 1 months ago
1998
ACM
In this paper, we propose the Pyramid-Technique, a new indexing method for high-dimensional data spaces. The PyramidTechnique is highly adapted to range query processing using the...
115
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MM
2004
ACM
15 years 3 months ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
ICML
2007
IEEE
15 years 10 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...
139
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Scarcity and infeasibility of human supervision for large
scale multi-class classification problems necessitates active
learning. Unfortunately, existing active learning methods
...
CSC
2006
2006
An Adaptive Method for Flow Simulation in Three-Dimensional Heterogeneous Discrete Fracture Networks
14 years 11 months ago
Natural fractured media are highly unpredictable because of existing complex structures at the fracture and at the network levels. Fractures are by themselves heterogeneous objects...