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Flash demos of TRACE
This page contains a set of flash demos showing the
capabilities of the Tool foR anAlyzing and disCovering pattErns, TRACE.
This tool has been developed by the Intelligent Systems Group
of the University of Santiago
de Compostela and the Laboratory
of Bioengineering of the University
San Pablo CEU in the context of research projects developed
in the medical domain. It also has been applied in the mobile robotics
domain.
TRACE is based on the Multivariable Fuzzy Temporal
Profile (MFTP) model, a model which allows us to project onto a
computational representation a description of a signal pattern made by
a human expert where the pattern represents a finding of interest.
The presentations require Flash 6.0 or later as well as
loudspeakers.
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Presentation I
This presentation contains
a general overview of TRACE. (6 minutes, resolution: 800x600).
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Presentation II
This presentation provides
detailed explanataions about TRACE's pattern acquisition capabilities
as well as a brief explanation of the matching functionality. (20
minutes, resolution: 871x712).
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Presentation
III
This presentation provides
more details about the matching functionality alongwith explanations of
TRACE's data acquisition capabilities. (20 minutes, resolution:
800x600).
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For more information about TRACE, you can check:
For more information about the MFTP model, you can check:
- A. Otero, P. Félix, S. Fraga, S. Barro y
F. Palacios. A
Hierarchical Pattern Matching Procedure for Signal Abstraction.
Lecture Notes in Computer Science, vol. 4177, pag. -, 2006. (bibtext).
- A. Otero, P. Félix y S. Barro y F.
Palacios. MFTP: a
model to represent hierarchies of abstraction defined over multiple
parameters. ECAI Workshop on Spatial and Temporal
Reasoning, Valencia, España. pag. 95-100, 2004. (slides) (bibtext).
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A. Otero, C.V. Rodríguez, J. Correa, M.
Rodríguez y P. Félix. A Fuzzy Constraint
Satisfaction Approach for Landmark Recognition in Mobile Robotics.
Information Processing and Management of Uncertainty
in Knowledge Bases Systems, Perugia, Italia. pag. 183-191,
2004. (slides)
(bibtext).
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A. Otero, P. Félix, C.V.
Rodríguez, M. Rodríguez y S. Barro. A Model to Perform
Knowledge Based Temporal Abstraction. TIME ICTL-2003,
Cairns, Australia. pag. 128-136, 2004. IEEE press. (slides) (bibtext).
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