"International Journal of Computer Theory and Engineering" . . "Mr\u00E1zov\u00E1, Iveta" . . "Kuka\u010Dka, Marek" . "5" . . . . . . "78849" . . "P(GAP103/10/0783), P(GAP202/10/1333), P(GD201/09/H057), S" . "Image Classification with Growing Neural Networks"@en . "http://www.ijcte.org/papers/722-W00090.pdf" . . "2"^^ . "Image Classification with Growing Neural Networks"@en . "Image Classification with Growing Neural Networks" . "RIV/00216208:11320/13:10173971" . "3" . "Image Classification with Growing Neural Networks" . "1793-8201" . "face recognition; convolutional neural networks; growing neural networks; classification; image processing"@en . . . . . "[6186FE333777]" . "RIV/00216208:11320/13:10173971!RIV14-GA0-11320___" . "10.7763/IJCTE.2013.V5.722" . "Future multi-media technologies are expected to support on-line processing of huge amounts of high-dimensional data without any special pre-processing. Growing Neural Networks designed for efficient image processing also involve data-dependent adjustment of both the number and position of the neurons that improves generalization. In this way, local features detected automatically by Growing Neural Networks impact a transparent and compact representation of the extracted knowledge. The performed case studies refer to face and hand-written digit recognition."@en . "11320" . "SG - Singapursk\u00E1 republika" . . . . . . . . "6"^^ . . "Future multi-media technologies are expected to support on-line processing of huge amounts of high-dimensional data without any special pre-processing. Growing Neural Networks designed for efficient image processing also involve data-dependent adjustment of both the number and position of the neurons that improves generalization. In this way, local features detected automatically by Growing Neural Networks impact a transparent and compact representation of the extracted knowledge. The performed case studies refer to face and hand-written digit recognition." . . "2"^^ .