Relationship between the Features as Well as Industrial Organization Form of Creative Idea and Creative Idea Management System
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: 2014شناسه الکترونیک: 10.1109/ICPR.2014.125
کلیدواژه(گان): audio-visual systems,conjugate gradient methods,image representation,learning (artificial intelligence),linear programming,minimisation,search problems,video retrieval,video signal processing,audio modality,auto-encoder,complex video event detection,conjugate gradient method,linear search,local contrast normalization,local variance robustness,optimization,regularized multimodality deep learning,spatial maximum pooling,unconstrained minimization,video representation methods,v
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Relationship between the Features as Well as Industrial Organization Form of Creative Idea and Creative Idea Management System
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contributor author | Qing Chun Shi | |
contributor author | Xiao Nan Tuo | |
date accessioned | 2020-03-12T21:04:42Z | |
date available | 2020-03-12T21:04:42Z | |
date issued | 2014 | |
identifier other | 6923734.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1036206 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Relationship between the Features as Well as Industrial Organization Form of Creative Idea and Creative Idea Management System | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8162370 | |
subject keywords | audio-visual systems | |
subject keywords | conjugate gradient methods | |
subject keywords | image representation | |
subject keywords | learning (artificial intelligence) | |
subject keywords | linear programming | |
subject keywords | minimisation | |
subject keywords | search problems | |
subject keywords | video retrieval | |
subject keywords | video signal processing | |
subject keywords | audio modality | |
subject keywords | auto-encoder | |
subject keywords | complex video event detection | |
subject keywords | conjugate gradient method | |
subject keywords | linear search | |
subject keywords | local contrast normalization | |
subject keywords | local variance robustness | |
subject keywords | optimization | |
subject keywords | regularized multimodality deep learning | |
subject keywords | spatial maximum pooling | |
subject keywords | unconstrained minimization | |
subject keywords | video representation methods | |
subject keywords | v | |
identifier doi | 10.1109/ICPR.2014.125 | |
journal title | omputational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on | |
filesize | 149049 | |
citations | 3 |