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IJON
1998
46views more  IJON 1998»
13 years 10 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»
13 years 5 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
14 years 11 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
14 years 4 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
14 years 4 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