Towards Cognitive Component Analysis

Lars Kai Hansen, Peter Ahrendt, Jan Larsen

AbstractCognitive component analysis (COCA) is here 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 have earlier demonstrated that independent components analysis is relevant for representing semantics, not only in text, but also in dynamic text (chat), images, and combinations of text and images. Here we further expand on the relevance of the ICA model for representing context, including two new analyzes of abstract data: social networks and musical features.
Keywordslatent semantic analysis, sound, cognitive, social networks
TypeConference paper [With referee]
ConferenceAKRR'05 -International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning
EditorsPattern Recognition Society of Finland, Finnish Artificial Intelligence Society, Finnish Cognitive Linguistics Society
Year2005    Month June
PublisherPattern Recognition Society of Finland, Finnish Artificial Intelligence Society, Finnish Cognitive Linguistics Society
NoteBest paper award AKRR'05 in the category of Cognitive Models
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing


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