Advertisement

Knowledge Organization and Its Role in Temporal and Causal Signal Understanding: The ALVEN and CAA Projects

  • John K. Tsotsos
  • Tetsutaro Shibahara
Chapter
Part of the Symbolic Computation book series (SYMBOLIC)

Abstract

This paper describes the ALVEN and CAA projects. These projects share many basic concepts particularly with respect to the representation of knowledge and to the hypothesize and test nature of the control strategy. They both deal with temporally rich data interpretation tasks. However, they focus on very different aspects of interpretation. ALVEN processes images of a time-varying sequence in a real-time fashion (although not in real time), while CAA considers an entire signal, as if time were a second spatial dimension. ALVEN deals with the assessment of the performance of the human left ventricle from an X-ray image sequence, while CAA considers the causal relationships of the electrophysiologv of the human heart and the resulting electrocardiogram signal, and tries to detect and classify anomalies of rhythm. The contributions of these works lie in the elucidation of a representation and control structure for the knowledge-based interpretation of time-varying signals.

Keywords

Right Ventricle Causal Link Knowledge Organization Cardiac Conduction System Similarity Link 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag New York Inc. 1987

Authors and Affiliations

  • John K. Tsotsos
    • 1
  • Tetsutaro Shibahara
    • 1
  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

Personalised recommendations