About: Can Deep Neural Networks Discover Meaningful Pattern Features?

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.sciencedirect.com/science/article/pii/S1877050912006448
Description	Recent advances in the area of deep neural networks brought a lot of attention to some of the key issues important for their design. In particular for 2D-shapes, their accuracy has been shown to outperform all other classifiers. On the other hand, their training may be quite cumbersome and the structure of the network has to be chosen beforehand. This paper introduces a new sensitivity-based approach capable of picking the right image features from a pre-trained SOM-like feature detector. Experimental results obtained so far for hand-written digit recognition show that pruned network architectures impact a transparent representation of the features actually present in the data while improving network robustness. Recent advances in the area of deep neural networks brought a lot of attention to some of the key issues important for their design. In particular for 2D-shapes, their accuracy has been shown to outperform all other classifiers. On the other hand, their training may be quite cumbersome and the structure of the network has to be chosen beforehand. This paper introduces a new sensitivity-based approach capable of picking the right image features from a pre-trained SOM-like feature detector. Experimental results obtained so far for hand-written digit recognition show that pruned network architectures impact a transparent representation of the features actually present in the data while improving network robustness. (en)
Title	Can Deep Neural Networks Discover Meaningful Pattern Features? Can Deep Neural Networks Discover Meaningful Pattern Features? (en)
skos:prefLabel	Can Deep Neural Networks Discover Meaningful Pattern Features? Can Deep Neural Networks Discover Meaningful Pattern Features? (en)
skos:notation	RIV/00216208:11320/12:10127469!RIV13-GA0-11320___
http://linked.open...avai/predkladatel	Matematicko-fyzikální fakulta
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(GAP103/10/0783), P(GAP202/10/1333), P(GD201/09/H057), S
http://linked.open...iv/cisloPeriodika	12
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Mrázová, Iveta Kukačka, Marek
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	125884
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10127469
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	generalization; pruning; feature extraction; self-organization; image classification; convolutional neural networks (en)
http://linked.open.../riv/klicoveSlovo	image classification convolutional neural networks self-organization feature extraction generalization pruning
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[4778390CDC27]
http://linked.open...i/riv/nazevZdroje	Procedia Computer Science
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	NoSCoM: Non-Standard Computational Models and Their Applications in Complexity, Linguistics, and Learning Res Informatica Structure and its impact for recognition
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	2012
http://linked.open...iv/tvurceVysledku	Mrázová, Iveta Kukačka, Marek
issn	1877-0509
number of pages	6 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.procs.2012.09.053
http://localhost/t...ganizacniJednotka	11320
is http://linked.open...avai/riv/vysledek of	Can Deep Neural Networks Discover Meaningful Pattern Features?

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