91 search results - page 4 / 19 » Non-linear Dimensionality Reduction by Locally Linear Isomap... |
AAAI
2007
13 years 8 months ago
2007
Recently the problem of dimensionality reduction has received a lot of interests in many fields of information processing. We consider the case where data is sampled from a low d...
DAGM
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
BMCBI
2010
13 years 5 months ago
2010
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
ICA
2004
Springer
13 years 11 months ago
2004
Springer
In usual ICA methods, sources are typically estimated by maximizing a measure of their statistical independence. This paper explains how to perform non-linear ICA by preprocessing ...
ROMAN
2007
IEEE
14 years 1 days ago
2007
IEEE
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...