Zobrazeno 1 - 10
of 256
pro vyhledávání: '"Hamid Krim"'
Publikováno v:
Intelligent Systems with Applications, Vol 18, Iss , Pp 200210- (2023)
We propose a deep structure encoder using Volterra Neural Networks (VNNs) to seek a latent representation of multi-modal data whose features are jointly captured by a union of subspaces. The so-called self-representation embedding of the latent codes
Externí odkaz:
https://doaj.org/article/7bb4c0348a0e4c34a5167c93dffdc10b
Publikováno v:
Atmosphere, Vol 12, Iss 4, p 455 (2021)
Long-term hurricane predictions have been of acute interest in order to protect the community from the loss of lives, and environmental damage. Such predictions help by providing an early warning guidance for any proper precaution and planning. In th
Externí odkaz:
https://doaj.org/article/ca010c948b4d4ae684e9532a4bd7b0f4
Publikováno v:
Mathematics, Vol 9, Iss 2, p 168 (2021)
The purpose of this paper is to infer a dynamic graph as a global (collective) model of time-varying measurements at a set of network nodes. This model captures both pairwise as well as higher order interactions (i.e., more than two nodes) among the
Externí odkaz:
https://doaj.org/article/6cbc7394cc9c451c895cfacba4e5869e
Publikováno v:
International Journal of Biomedical Imaging, Vol 2009 (2009)
We propose a constrained version of Mumford and Shah's (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data for parametric T1-Map and T1
Externí odkaz:
https://doaj.org/article/7f50931d814d434295891fbd7a553dd0
The power and flexibility of Optimal Transport (OT) have pervaded a wide spectrum of problems, including recent Machine Learning challenges such as unsupervised domain adaptation. Its essence of quantitatively relating two probability distributions b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3734998fec86b164205c788417ca5a9d
http://arxiv.org/abs/2304.08298
http://arxiv.org/abs/2304.08298
Autor:
Stéphane Jaffard, Hamid Krim
Publikováno v:
Theoretical Physics, Wavelets, Analysis, Genomics ISBN: 9783030458461
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71a84a3af6963a2725edb29dae65ef95
https://doi.org/10.1007/978-3-030-45847-8_23
https://doi.org/10.1007/978-3-030-45847-8_23
Autor:
Hamid Krim, Stéphane Jaffard
Publikováno v:
Comptes Rendus. Mathématique. 359:1107-1117
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI.
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:330-341
This article presents Egeria, the first automatic synthesizer of advising tools for High-Performance Computing (HPC). When one provides it with some HPC programming guides as inputs, Egeria automatically constructs a text retrieval tool that can advi