2312 search results - page 68 / 463 » On the Dimensionality of Face Space |
169
click to vote
PAMI
2006
15 years 6 months ago
2006
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
143
click to vote
ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Abstract. Motivated by image perturbation and the geometry of manifolds, we present a novel method combining these two elements. First, we form a tangent space from a set of pertur...
164
click to vote
CIDM
2007
IEEE
16 years 16 days ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
148
click to vote
IJPRAI
2010
15 years 3 months ago
2010
: Many locality-based unsupervised dimensionality reduction (DR) algorithms have recently been proposed and demonstrated to be effective to a certain degree in some classification ...
197
click to vote
AAAI
2010
15 years 7 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...