Zobrazeno 1 - 10
of 253
pro vyhledávání: '"Vic Ciesielski"'
Neural architecture search (NAS) aims to automate architecture engineering in neural networks. This often requires a high computational overhead to evaluate a number of candidate networks from the set of all possible networks in the search space. Pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::667a65e60a38f9fe599fd9d807af04d4
https://hdl.handle.net/10453/168936
https://hdl.handle.net/10453/168936
Neural architecture search (NAS) aims to automate architecture engineering in neural networks. This often requires a high computational overhead to evaluate a number of candidate networks from the set of all possible networks in the search space duri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d22e1bd59d3c23eaef04668cbdd8f036
https://hdl.handle.net/10453/168863
https://hdl.handle.net/10453/168863
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::198372875986ddd92dceb991ba8d9327
https://doi.org/10.2139/ssrn.4274382
https://doi.org/10.2139/ssrn.4274382
Publikováno v:
Australasian Document Computing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461c9029158bea946eac16dcf775987f
https://doi.org/10.1145/3503516.3503532
https://doi.org/10.1145/3503516.3503532
Autor:
Vic Ciesielski, Yameng Peng
Publikováno v:
IJCNN
The purpose of convolutional neural networks is usually image classification but there are increasing studies attempting to reverse this common purpose in order to generate images. One of the most promising research directions is style transfer. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3645f7ab7d1c186c50272c98462a230
https://doi.org/10.1109/ijcnn48605.2020.9207331
https://doi.org/10.1109/ijcnn48605.2020.9207331
Autor:
Stephen Lou Banal, Vic Ciesielski
Publikováno v:
Artificial Intelligence in Music, Sound, Art and Design ISBN: 9783030438586
EvoMUSART
EvoMUSART
Current state-of-the-art solutions that automate the assessment of photo aesthetic quality use deep learning neural networks. Most of these networks are either binary classifiers or regression models that predict the aesthetic quality of photos. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e012bc65385342c7c01359781e32b593
https://doi.org/10.1007/978-3-030-43859-3_1
https://doi.org/10.1007/978-3-030-43859-3_1
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030522452
This paper describes the results of formally evaluating the MCV (Markov concurrent vision) image labeling algorithm which is a (semi-) hierarchical algorithm commencing with a partition made up of single pixel regions and merging regions or subsets o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7f2324396dda6ee609adfa25d6ad56
https://doi.org/10.1007/978-3-030-52246-9_27
https://doi.org/10.1007/978-3-030-52246-9_27
Publikováno v:
IVCNZ
The accuracy of handwritten text recognition may be affected by the presence of struck-out text in the handwritten manuscript. This paper investigates and improves the performance of a widely used handwritten text recognition approach Convolutional R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa9b8e9d0971bf2fea3e455e9cdd888b
https://doi.org/10.1109/ivcnz48456.2019.8961024
https://doi.org/10.1109/ivcnz48456.2019.8961024
Publikováno v:
Soft Computing. 20:3915-3925
A state in time series is time series data stream maintaining a certain pattern over a period of time, for example, holding a steady value, being above a certain threshold and oscillating regularly. Automatic learning and discovery of these patterns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e72bbcc6a5245e57e8cc313fbcc08b3e
https://doi.org/10.1007/s00500-016-2127-9
https://doi.org/10.1007/s00500-016-2127-9
This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo•2017 events Eur