Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Yanxiong Li"'
Publikováno v:
IEEE Access, Vol 6, Pp 58043-58055 (2018)
Surveillance systems based on image analysis can automatically detect road accidents to ensure a quick intervention by rescue teams. However, in some situations, the visual information is insufficiently reliable, whereas the use of a sound detector c
Externí odkaz:
https://doaj.org/article/eebc7f2e129f496bb2746ea6ce4b5f4b
Publikováno v:
Applied Sciences, Vol 11, Iss 10, p 4699 (2021)
Label Smoothing Regularization (LSR) is a widely used tool to generalize classification models by replacing the one-hot ground truth with smoothed labels. Recent research on LSR has increasingly focused on the correlation between the LSR and Knowledg
Externí odkaz:
https://doaj.org/article/27753f7ef7534103b22decf9c1d81461
Publikováno v:
Sensors, Vol 21, Iss 8, p 2792 (2021)
Knowledge Distillation (KD), which transfers the knowledge from a teacher to a student network by penalizing their Kullback–Leibler (KL) divergence, is a widely used tool for Deep Neural Network (DNN) compression in intelligent sensor systems. Trad
Externí odkaz:
https://doaj.org/article/97a6502cc6c241f89be47666b80f7f62
Recent efforts have been made on acoustic scene classification in the audio signal processing community. In contrast, few studies have been conducted on acoustic scene clustering, which is a newly emerging problem. Acoustic scene clustering aims at m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d4c1d23b22a4ddac81492b98477e5dc
http://arxiv.org/abs/2306.05621
http://arxiv.org/abs/2306.05621
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Existing methods for few-shot speaker identification (FSSI) obtain high accuracy, but their computational complexities and model sizes need to be reduced for lightweight applications. In this work, we propose a FSSI method using a lightweight prototy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8789cf3335f3e398229331690697bde4
http://arxiv.org/abs/2305.19541
http://arxiv.org/abs/2305.19541
Publikováno v:
Geodesy and Geodynamics, Vol 15, Iss 6, Pp 568-581 (2024)
The reliability theory has been an important element of the classical geodetic adjustment theory and methods in the linear Gauss-Markov model. Although errors-in-variables (EIV) models have been intensively investigated, little has been done about re
Externí odkaz:
https://doaj.org/article/08f4ca5da1eb4edf8d677607a2bf1e8e
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 2227-2236 (2024)
The reliability theory has been an important element of the classical geodetic adjustment theory and methods in a linear Gauss-Markov model since Baarda invented reliability in 1968. Although geodetic reliability has been widely investigated and appl
Externí odkaz:
https://doaj.org/article/543a382904e44d3d9cbeed0efbdc03c8
Publikováno v:
Multimedia Systems. 28:1481-1494
Publikováno v:
Multimedia Tools and Applications. 81:6943-6956