Files in this item

FilesDescriptionFormat

application/pdf

application/pdf3223657.pdf (3MB)Restricted to U of Illinois
(no description provided)PDF

Description

Title:Manifold Learning From Time Series
Author(s):Lin, Ruei-Sung
Doctoral Committee Chair(s):Levinson, Stephen E.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:We apply our manifold learning algorithm to synthetic data and real world applications. The experiment on synthetic data clearly demonstrates that by taking temporal dependency among global coordinates into consideration our proposed algorithm achieves superior learning results than other manifold learning algorithms that treat samples in the training data set as independent, identical, distributed (i.i.d). In addition, we demonstrate that our algorithm is capable of solving complicated real world problems including appearance-based object tracking and robot map learning.
Issue Date:2006
Type:Text
Language:English
Description:133 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
URI:http://hdl.handle.net/2142/81722
Other Identifier(s):(MiAaPQ)AAI3223657
Date Available in IDEALS:2015-09-25
Date Deposited:2006


This item appears in the following Collection(s)

Item Statistics