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ANNPR
2008
Springer
14 years 1 months ago
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes
In applications such as character recognition, some classes are heavily overlapped but are not necessarily to be separated. For classification of such overlapping classes, either d...
Cheng-Lin Liu
IJDAR
2008
121views more  IJDAR 2008»
13 years 11 months ago
Partial discriminative training for classification of overlapping classes in document analysis
For character recognition in document analysis, some classes are closely overlapped but are not necessarily to be separated before contextual information is exploited. For classifi...
Cheng-Lin Liu
ESWA
2008
102views more  ESWA 2008»
13 years 11 months ago
Hierarchical classifier with overlapping class groups
In this paper a novel complex classifier architecture is proposed. The architecture has a hierarchical tree-like structure with simple artificial neural networks (ANNs) at each no...
Igor T. Podolak
ICONIP
2007
14 years 13 days ago
Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification
Multiclass gene selection and classification of cancer are rapidly gaining attention in recent years, while conventional rank-based gene selection methods depend on predefined idea...
Jin-Hyuk Hong, Sung-Bae Cho
ENGL
2007
148views more  ENGL 2007»
13 years 11 months ago
A General Reflex Fuzzy Min-Max Neural Network
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
Abhijeet V. Nandedkar, Prabir Kumar Biswas