Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ehsan Emad Marvasti"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:4267-4278
Publikováno v:
IEEE Transactions on Artificial Intelligence. 2:214-227
We present a theoretical framework of probabilistic learning derived from the maximum probability (MP) theorem shown in this article. In this probabilistic framework, a model is defined as an event in the probability space, and a model or the associa
Autor:
Rui Guo, Hongsheng Lu, Arash Raftari, Ehsan Emad Marvasti, Yaser P. Fallah, Amir Emad Marvasti
Publikováno v:
VTC-Fall
The recent advancements in communication and computational systems has led to significant improvement of situational awareness in connected and autonomous vehicles. Computationally efficient neural networks and high speed wireless vehicular networks
Publikováno v:
CAVS
Situational awareness as a necessity in the connected and autonomous vehicles (CAV) domain is the subject of a significant number of researches in recent years. The driver's safety is directly dependent on the robustness, reliability, and scalability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27e71c0a773cb2065e53491e8d50da69
Publikováno v:
CRV
We introduce the concept of Folded Coding" for continuous univariate distributions estimating the distribution and coding the samples simultaneously. Folded Coding assumes symmetries in the distribution and requires significantly fewer parameters com