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
Feature Level-Sets: Generalizing Iso-Surfaces to Multi-Variate Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2018.2867488
Abstract: Iso-surfaces or level-sets provide an effective and frequently used means for feature visualization. However, they are restricted to simple features for uni-variate data. The approach does not scale when moving to multi-variate data or when… read more here.
Keywords: level sets; feature level; iso surfaces; multi variate ... See more keywords
Noise reduction in feature level and its application in rolling element bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814018764820
Abstract: Vibration analysis is an effective way to accurately diagnose bearing faults, because it carries abundant information regarding mechanical health conditions. However, noise interference makes the features, extracted from vibration signals at different time periods, show… read more here.
Keywords: feature; bearing faults; bearing fault; noise reduction ... See more keywords
Boosting few-shot confocal endomicroscopy image recognition with feature-level MixSiam.
Sign Up to like & getrecommendations! Published in 2023 at "Biomedical optics express"
DOI: 10.1364/boe.478832
Abstract: As an emerging early diagnostic technology for gastrointestinal diseases, confocal laser endomicroscopy lacks large-scale perfect annotated data, leading to a major challenge in learning discriminative semantic features. So, how should we learn representations without labels… read more here.
Keywords: endomicroscopy; feature; level mixsiam; method ... See more keywords