Startseite UB

A new approach to clustering and object detection with independent component analysis

Keck, I. R. and Nassabay, S. and Puntonet, C. G. and Lang, Elmar (2005) A new approach to clustering and object detection with independent component analysis. Lecture Notes in Computer Science 3562, pp. 558-566.

Full text not available from this repository.

Other URL: http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-164-12-72397-0,00.html


Abstract

It has previously been suggested that the visual cortex performs a data analysis similar to independent component analysis (ICA). Based on this idea we show that an incomplete ICA can be used to efficiently cluster independent components. We apply this algorithm to toy data, fMRI data and a set of natural scenes and show that this approach to clustering offers a wide variety of ...

plus


Export bibliographical data

Item Type:Article
Date:2005
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:BMBF Projekt ModKog
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:14 Oct 2010 11:51
Item ID:1635
Owner Only: item control page
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact