137 search results - page 16 / 28 » Ordinal Embedding: Approximation Algorithms and Dimensionali... |
AMFG
2003
IEEE
14 years 2 months ago
2003
IEEE
In this paper, we propose the concept of Manifold of Facial Expression based on the observation that images of a subject’s facial expressions define a smooth manifold in the hig...
Publication
We consider the computational problem of finding nearest neighbors in general metric spaces. Of particular interest are spaces that may not be conveniently embedded or approximate...
BMCBI
2006
13 years 9 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
SMA
2005
ACM
14 years 2 months ago
2005
ACM
Numerous simplification methods have been proposed for speeding up engineering analysis/ simulation. A recently proposed medial axis reduction is one such method, that is particul...