Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xiang, Bingqing"'
Publikováno v:
International Journal of Contemporary Hospitality Management, 2024, Vol. 36, Issue 12, pp. 4192-4214.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJCHM-09-2023-1376
Publikováno v:
IEEE Trans. Signal Inform. Proc. over Netw., vol. 7, pp. 699-715, Oct. 2021
Principal Subspace Analysis (PSA) -- and its sibling, Principal Component Analysis (PCA) -- is one of the most popular approaches for dimensionality reduction in signal processing and machine learning. But centralized PSA/PCA solutions are fast becom
Externí odkaz:
http://arxiv.org/abs/2103.06406
In today’s world, we live in a technologically advanced environment where information access is huge and limitless. The advantage to this is that, people are able to create more information, share and communicate with each other instantly on the go
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-45310
Autor:
Xiang, Bingqing
Big, distributed data create a bottleneck for storage and computation in machine learn- ing. Principal Component Analysis (PCA) is a dimensionality reduction tool to resolve the issue. This thesis considers how to estimate the principal subspace in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f95b406afc3456232600fabc74d186cf