Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Urs Bergmann"'
Autor:
Michiel W H Remme, Urs Bergmann, Denis Alevi, Susanne Schreiber, Henning Sprekeler, Richard Kempter
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 12, p e1009681 (2021)
Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory
Externí odkaz:
https://doaj.org/article/aa5e47e07d2a487eafc98ab93e8d4487
Autor:
Michiel W. H. Remme, Urs Bergmann, Denis Alevi, Susanne Schreiber, Henning Sprekeler, Richard Kempter
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 12, p e1009681 (2021)
PLoS Computational Biology
PLoS Computational Biology
Systems memory consolidation involves the transfer of memories across brain regions and the transformation of memory content. For example, declarative memories that transiently depend on the hippocampal formation are transformed into long-term memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8ddc804887d395e2566449aea637ab
https://doi.org/10.1101/2020.12.03.408344
https://doi.org/10.1101/2020.12.03.408344
Autor:
Urs Bergmann, Romain Guigourès, Yuen King Ho, Abdul-Saboor Sheikh, Reza Shirvany, Roland Vollgraf, Evgenii Koriagin
Publikováno v:
RecSys
Personalized size and fit recommendations bear crucial significance for any fashion e-commerce platform. Predicting the correct fit drives customer satisfaction and benefits the business by reducing costs incurred due to size-related returns. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6dc13c91eb261143c29ee862ac1edc5
https://doi.org/10.1145/3298689.3347006
https://doi.org/10.1145/3298689.3347006
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783030552176
ICCV Workshops
ICCV Workshops
Visualizing an outfit is an essential part of shopping for clothes. Due to the combinatorial aspect of combining fashion articles, the available images are limited to a pre-determined set of outfits. In this paper, we broaden these visualizations by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a629e8b9d16909e7faed1ad1310c78a3
Autor:
Romain Guigourès, Reza Shirvany, Evgenii Koriagin, Yuen King Ho, Abdul-Saboor Sheikh, Urs Bergmann
Publikováno v:
RecSys
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion. Our approach jointly models a size purchased by a customer, and its possible return event: 1. no return, 2. returned too sma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578f25930f552c5ada5e80428df86537
Autor:
Urs Bergmann, Nikolay Jetchev
Publikováno v:
ICCV Workshops
We present a novel method to solve image analogy problems : it allows to learn the relation between paired images present in training data, and then generalize and generate images that correspond to the relation, but were never seen in the training s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9818e07d8dd61e8e39d1c6bc00a27a31
Publikováno v:
Neural Computation. 23:2770-2797
We present a model for the emergence of ordered fiber projections that may serve as a basis for invariant recognition. After invariance transformations are self-organized, so-called control units competitively activate fiber projections for different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac135abd3426954a369b4237bbb6e6bc
https://doi.org/10.1162/neco_a_00195
https://doi.org/10.1162/neco_a_00195
Publikováno v:
Biological Cybernetics. 101:401-410
We study the problem of learning with incomplete information in a student-teacher setup for the committee machine. The learning algorithm combines unsupervised Hebbian learning of a series of associations with a delayed reinforcement step, in which t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::838ecad5941ed09b315f58e3348080ce
https://doi.org/10.1007/s00422-009-0345-2
https://doi.org/10.1007/s00422-009-0345-2
Publikováno v:
Artificial Neural Networks – ICANN 2010 ISBN: 9783642158247
ICANN (3)
ICANN (3)
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topographic code to represent visual stimuli. We therefore develop a bilinea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::654bd4cdf867627ac3ff38f95ac67754
https://doi.org/10.1007/978-3-642-15825-4_8
https://doi.org/10.1007/978-3-642-15825-4_8