Results 31 to 40 of about 97,244 (288)
Robust correlated and individual component analysis [PDF]
, 2015 © 1979-2012 IEEE.Recovering correlated and individual components of two, possibly temporally misaligned, sets of data is a fundamental task in disciplines such as image, vision, and behavior computing, with application to problems such as multi-modal ...
Nicolaou, M +3 more
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Design and application of a multi-modal process tomography system [PDF]
, 2001 This paper presents a design and application study of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography.
Hoyle, B.S. +8 more
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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 +4 more
doaj +1 more source
06311 Abstracts Collection -- Sensor Data and Information Fusion in Computer Vision and Medicine [PDF]
, 2007 From 30.07.06 to 04.08.06, the Dagstuhl Seminar 06311 ``Sensor Data and Information Fusion in Computer Vision and Medicine\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Denzler, Joachim +3 more
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Multi-camera and Multi-modal Sensor Fusion, an Architecture Overview [PDF]
, 2010 Proceedings of: Forth International Workshop on User-Centric Technologies and applications (CONTEXTS 2010). Valencia, 07-10 September , 2010.This paper outlines an architecture formulti-camera andmulti-modal sensor fusion.We define a high-level ...
Luis Bustamante, Álvaro +2 more
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MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Abstract. The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classification problems, crowd-sourced data are represented as points that may or not be located within the same pixel.
M. A. A. Ghaffar +3 more
openaire +3 more sources
Mathematical approach for rapid determination of pull-in displacement in MEMS devices
Frontiers in PhysicsIntroductionMicroelectromechanical 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
Cross-Modal Message Passing for Two-stream Fusion
, 2019 Processing and fusing information among multi-modal is a very useful technique for achieving high performance in many computer vision problems. In order to tackle multi-modal information more effectively, we introduce a novel framework for multi-modal ...
Wang, Dong, Wang, Qi, Yuan, Yuan
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Mathematics, 2023 In driverless systems (scenarios such as subways, buses, trucks, etc.), multi-modal data fusion, such as light detection and ranging (LiDAR) points and camera images, is essential for accurate 3D object detection.
Zheng Zhang, Ruyu Xu, Qing Tian
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Fusion of Learned Multi-Modal Representations and Dense Trajectories for Emotional Analysis in Videos [PDF]
, 2015 When designing a video affective content analysis algorithm, one of the most important steps is the selection of discriminative features for the effective representation of video segments.
Acar, Esra +2 more
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