14 search results - page 1 / 3 » Learning Dissimilarities for Categorical Symbols |
JMLR
2010
12 years 11 months ago
2010
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...
CORR
1999
Springer
13 years 4 months ago
1999
Springer
: There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This pa...
ICIAP
2009
ACM
14 years 5 months ago
2009
ACM
Multi-class binary symbol classification requires the use of rich descriptors and robust classifiers. Shape representation is a difficult task because of several symbol distortions...
IVC
2008
13 years 4 months ago
2008
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
CIARP
2007
Springer
13 years 10 months ago
2007
Springer
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...