Results 21 to 30 of about 4,621,428 (298)

Robust multi-modal and multi-unit feature level fusion of face and iris biometrics [PDF]

, 2008
Multi-biometrics has recently emerged as a mean of more robust and effcient personal verification and identification. Exploiting information from multiple sources at various levels i.e., feature, score, rank or decision, the false acceptance and ...
Rattani, Ajita, Tistarelli, Massimo
core   +3 more sources

Citrus Huanglongbing Detection Based on Multi-Modal Feature Fusion Learning

Frontiers in Plant Science, 2021
Citrus Huanglongbing (HLB), also named citrus greening disease, occurs worldwide and is known as a citrus cancer without an effective treatment. The symptoms of HLB are similar to those of nutritional deficiency or other disease.
Dongzi Yang, Dongzi Yang, Fengcheng Wang, Fengcheng Wang, Yuqi Hu, Yuqi Hu, Yubin Lan, Yubin Lan, Yubin Lan, Yubin Lan, Xiaoling Deng, Xiaoling Deng, Xiaoling Deng, Xiaoling Deng   +13 more
doaj   +1 more source

Dual-Layer Fusion Knowledge Reasoning with Enhanced Multi-modal Features [PDF]

Jisuanji kexue yu tansuo
Most of the existing multi-modal knowledge reasoning methods use splicing or attention to directly fuse the multi-modal features extracted from the pre-trained model, often ignoring the heterogeneity and interaction complexity between different modes ...
JING Boxiang, WANG Hairong, WANG Tong, YANG Zhenye
doaj   +1 more source

Visual Question Answering Model Based on Multi-modal Deep Feature Fusion [PDF]

Jisuanji kexue, 2023
In the era of big data,with the explosive growth of multi-source heterogeneous data,multi-modal data fusion has attracted much attention of researchers,and visual question answering(VQA) has become a hot topic in multi-modal data fusion due to its image ...
ZOU Yunzhu, DU Shengdong, TENG Fei, LI Tianrui
doaj   +1 more source

Multi-Modal Recurrent Fusion for Indoor Localization

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
This paper considers indoor localization using multi-modal wireless signals including Wi-Fi, inertial measurement unit (IMU), and ultra-wideband (UWB). By formulating the localization as a multi-modal sequence regression problem, a multi-stream recurrent fusion method is proposed to combine the current hidden state of each modality in the context of ...
Yu, Jianyuan, Pu, Wang, Koike-Akino, Toshiaki, Orlik, Philip V.   +4 more
openaire   +4 more sources

Research Progress of Multimodal Named Entity Recognition [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
In order to solve the problems in studies of multimodal named entity recognition, such as the lack of text feature semantics, the lack of visual feature semantics, and the difficulty of graphic feature fusion, a series of multimodal named entity ...
WANG Hairong, XU Xi, WANG Tong, JING Boxiang   +3 more
doaj   +1 more source

Exponential Multi-Modal Discriminant Feature Fusion for Small Sample Size

IEEE Access, 2022
Multi-modal Canonical Correlation Analysis (MCCA) is an important information fusion method, and some discriminant variations of MCCA have been proposed.
Yanmin Zhu, Tianhao Peng, Shuzhi Su
doaj   +1 more source

Multi-modality Cascaded Fusion Technology for Autonomous Driving [PDF]

2020 4th International Conference on Robotics and Automation Sciences (ICRAS), 2020
Multi-modality fusion is the guarantee of the stability of autonomous driving systems. In this paper, we propose a general multi-modality cascaded fusion framework, exploiting the advantages of decision-level and feature-level fusion, utilizing target position, size, velocity, appearance and confidence to achieve accurate fusion results.
Hongwu Kuang, Xiaodong Liu, Jingwei Zhang, Zicheng Fang   +3 more
openaire   +3 more sources

Mathematical approach for rapid determination of pull-in displacement in MEMS devices

Frontiers in Physics
IntroductionMicroelectromechanical systems (MEMS) are pivotal in diverse fields such as telecommunications, healthcare, and aerospace. A critical challenge in MEMS devices is accurately determining the pull-in displacement and voltage, which ...
Yongcun Shao, Yutong Cui
doaj   +1 more source

Tomato Disease Classification and Identification Method Based on Multimodal Fusion Deep Learning

Agriculture, 2022
Considering that the occurrence and spread of diseases are closely related to the planting environment, a tomato disease diagnosis method based on Multi-ResNet34 multi-modal fusion learning based on residual learning is proposed for the problem of ...
Ning Zhang, Huarui Wu, Huaji Zhu, Ying Deng, Xiao Han   +4 more
doaj   +1 more source