Cogito Componentiter Ergo Sum

L.K. Hansen, L. Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Cognitive component analysis (COCA) is defined as the process of unsupervised grouping of data such that the ensuing group structure is well-aligned with that resulting from human cognitive activity. We present evidence that independent component analysis of abstract data such as text, social interactions, music, and speech leads to low level cognitive components.
Original languageUndefined
Title of host publicationProceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006)
Place of PublicationBerlin
PublisherSpringer
Pages446-453
Number of pages8
ISBN (Print)3-540-32630-8
DOIs
Publication statusPublished - Mar 2006

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
NumberIEEE Produ
Volume3889
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • METIS-238785
  • IR-63956
  • EWI-9422
  • DB-DM: DATA MINING

Cite this

Hansen, L. K., & Feng, L. (2006). Cogito Componentiter Ergo Sum. In Proceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2006) (pp. 446-453). [10.1007/11679363_56] (Lecture Notes in Computer Science; Vol. 3889, No. IEEE Produ). Berlin: Springer. https://doi.org/10.1007/11679363_56