885 search results - page 7 / 177 » Hierarchical Structuring of Data on Manifolds |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
NIPS
2007
13 years 9 months ago
2007
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
WSOM
2009
Springer
14 years 2 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
ISBI
2006
IEEE
14 years 8 months ago
2006
IEEE
We address the problem of classification of EEG recordings for the detection of epileptic seizures. We assume that the EEG measurements can be described by a low dimensional manif...
PAMI
2008
13 years 7 months ago
2008
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...