Incremental Multi-manifold Out-of-Sample Data Prediction

A lot of manifold learning algorithms have been developed, which are used to learn a low dimensional model on a manifold representing large numbers of data in high dimensionality. Multi-manifold learning algorithms have also been put forward to provide a compact representation when these data come f...

Full description

Bibliographic Details

Published in:	2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) Vol. 2; pp. 481 - 486
Main Authors:	Zhongxin Liu, Wenmin Wang, Ronggang Wang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2014
Subjects:	Accuracy Algorithm design and analysis dimensionality reduction Distributed databases incremental Manifolds Matrix decomposition Measurement multi-manifold out-of-sample data prediction Prediction algorithms
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!