Zobrazeno 1 - 10
of 431
pro vyhledávání: '"Lionel M. Ni"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 3, Iss 2, Pp 225-241 (2007)
Externí odkaz:
https://doaj.org/article/d2a581de1d784008bd8c645619a7bde6
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 8 (2012)
The objective of private authentication for Radio Frequency Identification (RFID) systems is to allow valid readers to explicitly authenticate their dominated tags without leaking the private information of tags. In previous designs, the RFID tags is
Externí odkaz:
https://doaj.org/article/cbdcbd006fe94ddfa060579a94b13572
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2007 (2007)
Externí odkaz:
https://doaj.org/article/3ccdbcfcf6d34f42bd3f42c57ecf435b
Wavelet analysis and its applications have become one of the fastest growing research areas in the past several years. Wavelet theory has been employed in many fields and applications, such as signal and image processing, communication systems, biome
Publikováno v:
INFORMS Journal on Computing. 34:1565-1586
Learning human mobility behaviors from location-sensing data are crucial to mobility data mining because of its potential to address a range of analytical purposes in mobile context reasoning, including exploration, inference, and prediction. However
Publikováno v:
IEEE Internet of Things Journal. 8:12505-12517
A passenger is overcharged by the taxi driver is one common type of fraudulent trip, and it brings negative impacts to modern cities. Most existing fraudulent trip detection works rely on the assumption that the trip is correctly recorded by the taxi
Publikováno v:
Neurocomputing. 444:126-135
Map-matching is a process that aligns location points on a digital map and it is an essential step in location-based services. However, regular map-matching methods cannot archive very high accuracy due to the errors in raw location data and the comp
Publikováno v:
Information Sciences. 523:266-278
Intelligent education systems have enabled personalized learning (PL). In PL, students are presented with educational contents that are consistent with their personal knowledge states (KS), and the critical task is accurately estimating these states
We present in this paper a novel denoising training method to speedup DETR (DEtection TRansformer) training and offer a deepened understanding of the slow convergence issue of DETR-like methods. We show that the slow convergence results from the inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6545789e5dbcf657d585138e22e08399
Autor:
Yuesheng He, Lionel M. Ni
Publikováno v:
IEEE Transactions on Image Processing. 28:1613-1624
A novel scheme of edge detection based on the physical law of diffusion is presented in this paper. Though the most current studies are using data based methods such as deep neural networks, these methods on machine learning need big data of labeled