Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Carlos Lassance"'
Publikováno v:
Algorithms, Vol 14, Iss 2, p 39 (2021)
Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists of training composite architectures in an end-to-end fashion, where in
Externí odkaz:
https://doaj.org/article/6213ad00732c49dc8388e9095048219d
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 20 (2021)
Vision-based localization is the problem of inferring the pose of the camera given a single image. One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is
Externí odkaz:
https://doaj.org/article/d5188fd600da4d0ba25183fad6515e2e
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282379
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7df2ebe4b6da59bfa6cace247b06b751
https://doi.org/10.1007/978-3-031-28238-6_2
https://doi.org/10.1007/978-3-031-28238-6_2
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031282430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8e95a9bbb456302a9be7e46af8a589
https://doi.org/10.1007/978-3-031-28244-7_32
https://doi.org/10.1007/978-3-031-28244-7_32
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62654f732def6a5788d28d6b88f75677
https://doi.org/10.1145/3477495.3531835
https://doi.org/10.1145/3477495.3531835
Publikováno v:
SIGIR
We propose a Composite Code Sparse Autoencoder (CCSA) approach for Approximate Nearest Neighbor (ANN) search of document representations based on Siamese-BERT models. In Information Retrieval (IR), the ranking pipeline is generally decomposed in two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af35a44c07594ab92cb268a1169d918a
Publikováno v:
Algorithms
Algorithms, MDPI, 2021, 14 (2), pp.39. ⟨10.3390/a14020039⟩
Algorithms, Vol 14, Iss 39, p 39 (2021)
Volume 14
Issue 2
Algorithms, MDPI, 2021, 14 (2), pp.39. ⟨10.3390/a14020039⟩
Algorithms, Vol 14, Iss 39, p 39 (2021)
Volume 14
Issue 2
Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists in training composite architectures in an end-to-end fashion, where in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba918c2b04a8dbaace5b4cd5172022ed
https://hal.archives-ouvertes.fr/hal-03238776
https://hal.archives-ouvertes.fr/hal-03238776
Publikováno v:
Journal of Imaging
Volume 7
Issue 2
Journal of Imaging, Vol 7, Iss 20, p 20 (2021)
Volume 7
Issue 2
Journal of Imaging, Vol 7, Iss 20, p 20 (2021)
Vision-based localization is the problem of inferring the pose of the camera given a single image. One commonly used approach relies on image retrieval where the query input is compared against a database of localized support examples and its pose is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::068f192c5a8513bc19107e4734ceed4a
Publikováno v:
2020 25th International Conference on Pattern Recognition (ICPR)
ICPR 2020: 25th International Conference on Pattern Recognition
ICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan (virtual), Italy. pp.4054-4061, ⟨10.1109/ICPR48806.2021.9412859⟩
ICPR
ICPR 2020: 25th International Conference on Pattern Recognition
ICPR 2020: 25th International Conference on Pattern Recognition, Jan 2021, Milan (virtual), Italy. pp.4054-4061, ⟨10.1109/ICPR48806.2021.9412859⟩
ICPR
International audience; In many application domains such as computer vision, Convolutional Layers (CLs) are key to the accuracy of deep learning methods. However, it is often required to assemble a large number of CLs, each containing thousands of pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b86a3360c0269c01d09b4e5d5c006c2
https://hal.archives-ouvertes.fr/hal-03238771/document
https://hal.archives-ouvertes.fr/hal-03238771/document
Autor:
Carlos Lassance, Elvin Isufi, Jean-Michel Renders, Yutong Xie, Thibaut Thonet, Michael M. Bronstein, Stéphane Clinchant, Jiaqi Ma
Publikováno v:
RecSys 2021-15th ACM Conference on Recommender Systems
RecSys
RecSys
Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommenda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fe1b669cd4e1ff8d5082497f35240ed
http://resolver.tudelft.nl/uuid:50b77b37-3283-4643-aa0e-5db4678d18c6
http://resolver.tudelft.nl/uuid:50b77b37-3283-4643-aa0e-5db4678d18c6