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Publication search results
found 48 matches
- 2024
- Hengmin Zhang
, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - 2023
- Manas Ghosh
, Jamuna Kanta Sing
:
Interval type-2 fuzzy set induced fuzzy rank-level fusion for face recognition. Appl. Soft Comput. 145: 110584 (2023) - Selvaraj Saravanakumar
, Thangavel Saravanan
:
Secure personal authentication in fog devices via multimodal rank-level fusion. Concurr. Comput. Pract. Exp. 35(10) (2023) - K. R. Resmi, Shijo M. Joseph, G. Raju
, Debabrata Swain, Om Prakash Das, Biswaranjan Acharya
:
Ear Recognition Using Rank Level Fusion of Classifiers Outputs. Int. J. Online Biomed. Eng. 19(3): 127-143 (2023) - Qian Wang
, Yiwen Yang
:
All-sky auroral image classification based on Low-rank representation and multi-level feature fusion. AIPR 2023: 173-180 - 2022
- Qiaoying Pan
, Liaoying Zhao
, Shuhan Chen
, Xiaorun Li
:
Fusion of Low-Quality Visible and Infrared Images Based on Multi-Level Latent Low-Rank Representation Joint With Retinex Enhancement and Multi-Visual Weight Information. IEEE Access 10: 2140-2153 (2022) - Shadab Ahmad, Rajarshi Pal, Avatharam Ganivada:
Rank level fusion of multimodal biometrics using genetic algorithm. Multim. Tools Appl. 81(28): 40931-40958 (2022) - Ilef Ben Slima
, Sourour Ammar
, Mahmoud Ghorbel
:
Possibilistic rank-level fusion method for person re-identification. Neural Comput. Appl. 34(17): 14151-14168 (2022) - Ashirbad Pradhan
, Jiayuan He
, Ning Jiang
:
Score, Rank, and Decision-Level Fusion Strategies of Multicode Electromyogram-Based Verification and Identification Biometrics. IEEE J. Biomed. Health Informatics 26(3): 1068-1079 (2022) - Hui-Jia Li
, Zhen Wang
, Jie Cao
, Jian Pei, Yong Shi:
Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2860-2871 (2022) - Shadab Ahmad
, Rajarshi Pal
, Avatharam Ganivada
:
Matching Score-Based Biometric Quality Estimation for Score and Rank Level Fusion for Person Identification. ICVGIP 2022: 56:1-56:8 - 2021
- Shadab Ahmad, Rajarshi Pal, Avatharam Ganivada:
Rank Level Fusion of Multimodal Biometrics Using Particle Swarm Optimization. PReMI 2021: 387-397 - 2020
- Sanjida Nasreen Tumpa
, Marina L. Gavrilova
:
Score and Rank Level Fusion Algorithms for Social Behavioral Biometrics. IEEE Access 8: 157663-157675 (2020) - Lijun Zhu
:
Selection of Multi-Level Deep Features via Spearman Rank Correlation for Synthetic Aperture Radar Target Recognition Using Decision Fusion. IEEE Access 8: 133914-133927 (2020) - Harrisen Scells
, Guido Zuccon
, Bevan Koopman
:
You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. ECIR (1) 2020: 399-414 - Thomas Truong, Jonathan Graf, Svetlana N. Yanushkevich:
Hybrid Score- and Rank-level Fusion for Person Identification using Face and ECG Data. CoRR abs/2008.03353 (2020) - 2019
- Jamuna Kanta Sing, Aniruddha Dey, Manas Ghosh
:
Confidence factor weighted Gaussian function induced parallel fuzzy rank-level fusion for inference and its application to face recognition. Inf. Fusion 47: 60-71 (2019) - Md Wasiur Rahman, Fatema Tuz Zohra, Marina L. Gavrilova
:
Score Level and Rank Level Fusion for Kinect-Based Multi-Modal Biometric System. J. Artif. Intell. Soft Comput. Res. 9(3): 167-176 (2019) - Thomas Truong, Jonathan Graf, Svetlana N. Yanushkevich
:
Hybrid Score- and Rank-Level Fusion for Person Identification using Face and ECG Data. EST 2019: 1-6 - 2018
- Ferdous Ahmed, Brandon Sieu, Marina L. Gavrilova:
Score and Rank-Level Fusion for Emotion Recognition Using Genetic Algorithm. ICCI*CC 2018: 46-53 - Malgorzata Przybyla-Kasperek
:
Comparison of Selected Fusion Methods from the Abstract and Rank Levels in a System Using Pawlak's Approach to Coalition Formation. BDAS 2018: 220-232 - 2017
- Salma Ben Jemaa, Mohamed Hammami, Hanêne Ben-Abdallah
:
Finger Surfaces Recognition Using Rank Level Fusion. Comput. J. 60(7): 969-985 (2017) - Malgorzata Przybyla-Kasperek
, Alicja Wakulicz-Deja:
Comparison of fusion methods from the abstract level and the rank level in a dispersed decision-making system. Int. J. Gen. Syst. 46(4): 386-413 (2017) - Malgorzata Przybyla-Kasperek
, Alicja Wakulicz-Deja:
Dispersed decision-making system with fusion methods from the rank level and the measurement level - A comparative study. Inf. Syst. 69: 124-154 (2017) - Shuhan Qi, Fanglin Wang, Xuan Wang, Yue Guan, Jia Wei, Jian Guan:
Multiple level visual semantic fusion method for image re-ranking. Multim. Syst. 23(1): 155-167 (2017) - Ziqiong Liu, Shengjin Wang, Liang Zheng
, Qi Tian:
Robust ImageGraph: Rank-Level Feature Fusion for Image Search. IEEE Trans. Image Process. 26(7): 3128-3141 (2017) - Nanang Susyanto
:
Pool Adjacent Violators Based Biometric Rank Level Fusion. BIOSIG 2017: 35-40 - Md Wasiur Rahman, Fatema Tuz Zohra, Marina L. Gavrilova:
Rank level fusion for kinect gait and face biometrie identification. SSCI 2017: 1-7 - 2016
- Yang Hu
, Konstantinos Sirlantzis
, Gareth Howells:
Signal-Level Information Fusion for Less Constrained Iris Recognition Using Sparse-Error Low Rank Matrix Factorization. IEEE Trans. Inf. Forensics Secur. 11(7): 1549-1564 (2016) - 2015
- Emanuela Marasco, Ayman Abaza, Bojan Cukic:
Why rank-level fusion? And what is the impact of image quality? Int. J. Big Data Intell. 2(2): 106-116 (2015)
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