A multimodal differential privacy framework based on fusion representation learning
, 2022 Differential privacy mechanisms vary in modalities, and there have been many methods implementing differential privacy on unimodal data. Few studies focus on unifying them to protect multimodal data, though privacy protection of multimodal data is of ...
Chaoxin Cai +5 more
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Core size effects of laser fusion subcritical research reactor for fusion engineering research [PDF]
, 2021 A multi-purpose high repetition laser facility, the so-called Japan establishment for power-laser community harvest (J-EPoCH) is proposed as a next generation laser facility. J-EPoCH will operate at the maximum rate of 100 Hz.
Kodama, Ryousuke, Iwamoto, Akifumi
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BMC Oral Health, 2022 Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and ...
Lei-Hao Hu +5 more
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Statistical image fusion with generalised Gaussian and Alpha-Stable distributions [PDF]
, 2007 This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images.
Loza, AT +3 more
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Hierarchical Multimodal Fusion for Ground-Based Cloud Classification in Weather Station Networks
IEEE Access, 2019 Recently, the multimodal information is taken into consideration for ground-based cloud classification in weather station networks, but intrinsic correlations between the multimodal information and the visual information cannot be mined sufficiently.
Shuang Liu +3 more
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Dual-sensor fusion for indoor user localisation [PDF]
, 2011 In this paper we address the automatic identification of in- door locations using a combination of WLAN and image sensing. Our motivation is the increasing prevalence of wear- able cameras, some of which can also capture WLAN data.
O'Connor, Noel E. +6 more
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Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications [PDF]
PeerJ Computer ScienceWith the increasing availability of diverse healthcare data sources, such as medical images and electronic health records, there is a growing need to effectively integrate and fuse this multimodal data for comprehensive analysis and decision-making ...
Jing Ru Teoh +5 more
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Deep Equilibrium Multimodal Fusion [PDF]
, 2023 Multimodal fusion integrates the complementary information present in multiple modalities and has gained much attention recently. Most existing fusion approaches either learn a fixed fusion strategy during training and inference, or are only capable of ...
Mei, Tao +4 more
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Deep multimodal fusion : combining discrete events and continuous signals [PDF]
, 2014 Multimodal datasets often feature a combination of continuous signals and a series of discrete events. For instance, when studying human behaviour it is common to annotate actions performed by the participant over several other modalities such as ...
Yannakakis, Georgios N. +2 more
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Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification
The Scientific World Journal, 2015 This research proposes a multimodal multifeature biometric system for human recognition using two traits, that is, palmprint and iris. The purpose of this research is to analyse integration of multimodal and multifeature biometric system using feature ...
Gayathri Rajagopal +1 more
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