Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Bhatia, Harshil"'
Autor:
Yang, Jiezhi, Desai, Khushi, Packer, Charles, Bhatia, Harshil, Rhinehart, Nicholas, McAllister, Rowan, Gonzalez, Joseph
We propose CARFF, a method for predicting future 3D scenes given past observations. Our method maps 2D ego-centric images to a distribution over plausible 3D latent scene configurations and predicts the evolution of hypothesized scenes through time.
Externí odkaz:
http://arxiv.org/abs/2401.18075
Autor:
Bhatia, Harshil, Tretschk, Edith, Lähner, Zorah, Benkner, Marcel Seelbach, Moeller, Michael, Theobalt, Christian, Golyanik, Vladislav
Jointly matching multiple, non-rigidly deformed 3D shapes is a challenging, $\mathcal{NP}$-hard problem. A perfect matching is necessarily cycle-consistent: Following the pairwise point correspondences along several shapes must end up at the starting
Externí odkaz:
http://arxiv.org/abs/2303.16202
The first quantum computers are expected to perform well at quadratic optimisation problems. In this paper a quadratic problem in finance is taken, the Portfolio Optimisation problem. Here, a set of assets is chosen for investment, such that the tota
Externí odkaz:
http://arxiv.org/abs/2012.01121
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Phillipson, Frank, Bhatia, Harshil Singh, Paszynski, Maciej, Kranzlmüller, Dieter, Krzhizhanovskaya, Valeria V., Dongarra, Jack J., Sloot, Peter M.A.
Publikováno v:
Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI, 45-59
STARTPAGE=45;ENDPAGE=59;TITLE=Computational Science – ICCS 2021
Computational Science – ICCS 2021 ISBN: 9783030779795
ICCS (6)
STARTPAGE=45;ENDPAGE=59;TITLE=Computational Science – ICCS 2021
Computational Science – ICCS 2021 ISBN: 9783030779795
ICCS (6)
The first quantum computers are expected to perform well on quadratic optimisation problems. In this paper a quadratic problem in finance is taken, the Portfolio Optimisation problem. Here, a set of assets is chosen for investment, such that the tota
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b92c7cedebd8cff12773b7a9e141997
https://doi.org/10.1007/978-3-030-77980-1_4
https://doi.org/10.1007/978-3-030-77980-1_4
Autor:
Bhatia, Harshil Singh, Phillipson, Frank, Paszynski, Maciej, Kranzlmüller, Dieter, Krzhizhanovskaya, Valeria V., Sloot, Peter M.A., Dongarra, Jack J.
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779795
ICCS (6)
Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI, 84-97
STARTPAGE=84;ENDPAGE=97;TITLE=Computational Science – ICCS 2021
ICCS (6)
Computational Science – ICCS 2021: 21st International Conference, Krakow, Poland, June 16–18, 2021, Proceedings, Part VI, 84-97
STARTPAGE=84;ENDPAGE=97;TITLE=Computational Science – ICCS 2021
In this paper a classical classification model, Kernel-Support Vector machine, is implemented as a Quadratic Unconstrained Binary Optimisation problem. Here, data points are classified by a separating hyperplane while maximizing the function margin.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::520836da84b7714e3ac08370f88572b8
https://doi.org/10.1007/978-3-030-77980-1_7
https://doi.org/10.1007/978-3-030-77980-1_7