188 search results - page 22 / 38 » Random Forests and Kernel Methods |
106
Voted
AAAI
2008
15 years 2 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
100
Voted
ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
83
Voted
DAGM
2010
Springer
15 years 17 days ago
2010
Springer
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
114
Voted
CORR
2010
Springer
15 years 14 days ago
2010
Springer
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
102
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CVIU
2007
15 years 10 days ago
2007
A Bayesian framework is proposed for stereo vision where solutions to both the model parameters and the disparity map are posed in terms of predictions of latent variables, given ...