92 search results - page 12 / 19 » Data Visualization and Dimensionality Reduction Using Kernel... |
PR
2006
13 years 7 months ago
2006
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
ICDE
2007
IEEE
14 years 1 months ago
2007
IEEE
Three dimensional motion capture facility is a powerful tool for quantitative and qualitative assessment of multijoint external movements. Electro-myograph (EMG) signals give the ...
CVPR
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
IJCAI
2007
13 years 9 months ago
2007
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
SIAMJO
2010
13 years 2 months ago
2010
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...