Optimal feature level fusion for secured human authentication in multimodal biometric system
Sign Up to like & getrecommendations! Published in 2021 at "Machine Vision and Applications"
DOI: 10.1007/s00138-020-01146-6
Abstract: The rising demand for high security and reliable authentication schemes, led to the development of the unimodal biometric system so that the multimodal biometric system has emerged. The multimodal biometric system will use more than… read more here.
Keywords: fusion; multimodal biometric; feature level; biometric system ... See more keywords
Application of Pseudo-color Image Feature-Level Fusion in Nondestructive Testing of Wire Ropes
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Failure Analysis and Prevention"
DOI: 10.1007/s11668-020-00958-y
Abstract: Among the many nondestructive testing methods of ferromagnetic materials, magnetic flux leakage (MFL) testing is a very mature technology. Due to the single source of target information in traditional MFL detection technology, the recognition accuracy… read more here.
Keywords: color; image; color image; pseudo color ... See more keywords
Visual content-enhanced sequential recommendation with feature-level attention
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.037
Abstract: Abstract A sequential recommender system (SRS) takes historical user-item interactions as a sequence to predict the next item that may be of interest to a user. Most of existing SRSs make predictions by only considering… read more here.
Keywords: item; feature level; visual content; enhanced sequential ... See more keywords
A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1959655
Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ... read more here.
Keywords: multispectral imagery; imagery; level fusion; feature level ... See more keywords
Multimodal Feature-Level Fusion for Biometrics Identification System on IoMT Platform
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2815540
Abstract: Biometric systems have been actively emerging in various industries in the past few years and continue to provide higher-security features for access control systems. Many types of unimodal biometric systems have been developed. However, these… read more here.
Keywords: iomt platform; system; biometrics; feature level ... See more keywords
Change Detection on Multi-Spectral Images Based on Feature-level U-Net
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964798
Abstract: This paper proposes a change detection algorithm on multi-spectral images based on feature-level U-Net. A low-complexity pan-sharpening method is proposed to employ not only panchromatic images, but also multi-spectral images for enhancing the performance of… read more here.
Keywords: feature level; level net; multi spectral; change detection ... See more keywords
Gait Activity Classification From Feature-Level Sensor Fusion of Multi-Modality Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.3028697
Abstract: Gait activity classifications from single-modality data, e.g. acquired by separate vision, pressure, sound and inertial measurements, can be improved by complementary multi-modality fusion to capture a larger set of distinctive gait activity features. We demonstrate… read more here.
Keywords: feature level; modality; fusion; feature ... See more keywords
Cross-Modal Ship Detection From Optical to SAR Images Based on Pixel- and Feature-Level Progressive Transfer
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3543520
Abstract: Synthetic aperture radar (SAR) ship detection has advanced through deep learning but often requires many accurately annotated SAR images, which are time-consuming and labor-intensive. To address this, we propose an unsupervised cross-modal adaptation method based… read more here.
Keywords: ship; sar; feature level; sar images ... See more keywords
A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3330177
Abstract: Deep learning has been widely used for fault diagnosis of complex mechanical equipment in recent years. However, fault types keep increasing with the change in the working state of mechanical equipment in practical scenarios, which… read more here.
Keywords: knowledge; model; fault diagnosis; feature level ... See more keywords
FELEMN: Toward Efficient Feature-Level Machine Unlearning for Exact Privacy Protection
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3613659
Abstract: Data privacy protection legislation around the world has increasingly enforced the “right to be forgotten” regulation, generating a surge in research interest in machine unlearning (MU), which aims to remove the impact of training data… read more here.
Keywords: machine unlearning; level; feature level; mml ... See more keywords
FMCNet+: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2024.3453292
Abstract: For visible-infrared person re-identification (VI-ReID), current models that compensate modality-specific information strive to generate missing modality images from existing ones to bridge the cross-modality discrepancies. Despite that, those generated images often suffer from low qualities… read more here.
Keywords: modality; level; fmcnet; feature level ... See more keywords