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IJON
1998
46views more  IJON 1998»
15 years 4 months ago
Self-organizing maps of symbol strings
SOM and LVQ algorithms for symbol strings have been introduced and applied to isolatedword recognition, for the construction of an optimal pronunciation dictionary for a given spe...
Teuvo Kohonen, Panu Somervuo
JMLR
2010
230views more  JMLR 2010»
14 years 11 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
ICPR
2006
IEEE
16 years 5 months ago
A Maximum-Likelihood Approach to Symbolic Indirect Correlation
Symbolic Indirect Correlation (SIC) is a nonparametric method that offers significant advantages for recognition of ordered unsegmented signals. A previously introduced formulatio...
Ashutosh Joshi, Daniel P. Lopresti, George Nagy, S...
IEEEICCI
2008
IEEE
15 years 11 months ago
The computational manifold approach to consciousness and symbolic processing in the cerebral cortex
—A new abstract model of computation, the computational manifold, provides a framework for approaching the problems of consciousness, awareness, cognition and symbolic processing...
Douglas S. Greer
TIME
2007
IEEE
15 years 10 months ago
A Symbolic Decision Procedure for Robust Safety of Timed Systems
We present a symbolic algorithm for deciding safety (reachability) of timed systems modelled as Timed Automata (TA), under the notion of robustness w.r.t. infinitesimal clock-drif...
Mani Swaminathan, Martin Fränzle