Zobrazeno 1 - 10
of 375
pro vyhledávání: '"center loss"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Accurate diagnosis of white blood cells from cytopathological images is a crucial step in evaluating leukaemia. In recent years, image classification methods based on fully convolutional networks have drawn extensive attention and achieved c
Externí odkaz:
https://doaj.org/article/e084530f151c4ef8a5c18fc9fa8ae85e
Publikováno v:
IEEE Access, Vol 12, Pp 130228-130240 (2024)
Recognizing emotional states from speech is essential for human-computer interaction. It is challenging to realize effective speech emotion recognition (SER) on platforms with limited memory capacity and computing power. In this paper, we propose a l
Externí odkaz:
https://doaj.org/article/9289717476b8454b96b731c7ca745e8a
Autor:
Alaa Alnissany, Yazan Dayoub
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Person Re-identification (ReID) is the process of matching target individuals to their images within different images or videos captured from a variety of angles or cameras. This is a critical task for surveillance applications, in particula
Externí odkaz:
https://doaj.org/article/2ae73adbb131441a87433597660810ee
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-22 (2022)
Abstract Language recognition based on embedding aims to maximize inter-class variance and minimize intra-class variance. Previous researches are limited to the training constraint of a single centroid, which cannot accurately describe the overall ge
Externí odkaz:
https://doaj.org/article/de5e258317334afd82e54008180dafc8
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 3988-3998 (2023)
Motor imagery (MI) decoding plays a crucial role in the advancement of electroencephalography (EEG)-based brain-computer interface (BCI) technology. Currently, most researches focus on complex deep learning structures for MI decoding. The growing com
Externí odkaz:
https://doaj.org/article/7104c28fa6764c5f9b94959bea1b31c7
Autor:
Zhang Kexin, Liu Yunxiang
Publikováno v:
IEEE Access, Vol 11, Pp 56336-56343 (2023)
Cross-corpus speech emotion recognition(SER) is a hot topic in emotion classification. Cross-corpus SER includes these four issues:feature selection, differences constraint, label regression and preservation of discriminative emotion features. Seldom
Externí odkaz:
https://doaj.org/article/7ea8e829912346cf9091cda2e463ac5f
Publikováno v:
Sensors, Vol 24, Iss 4, p 1331 (2024)
In addressing challenges related to high parameter counts and limited training samples for finger vein recognition, we present the FV-MViT model. It serves as a lightweight deep learning solution, emphasizing high accuracy, portable design, and low l
Externí odkaz:
https://doaj.org/article/677d564505e34a139926cd601d23c5cf
Akademický článek
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Akademický článek
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Publikováno v:
Alexandria Engineering Journal, Vol 61, Iss 6, Pp 4435-4444 (2022)
Facial expression recognition (FER) is to separate the specific expression state from the given static image or video to determine the psychological emotions of the recognized object, the realization of the computer's understanding and recognition of
Externí odkaz:
https://doaj.org/article/a8405b53a3c14a34b72d0ac9ecbd6706