Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 15 of 15 for “"Cross-modality"”.
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Cross-Modality Profiling of High-Content Microscopy Images with Deep Learning
… we investigate the use of deep learning for cross-modality and multi-modal image-based profiling applications. In particular, we explore the utility of the brightfield image modality with deep generative models, and also propose new methods to integrate metadata labels freely obtained in …
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An Investigation into the Perceived Urgency of Auditory Warnings
… magnitude estimation, category estimation and cross modality matching were used to scale perceived urgency. On the basis of the cross modality matching validation procedure It was recommended that free modulus magnitude estimation or cross modality matching were used to measure perceived …
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Modelling interruptions of human-in-the loop tasks
… performance of the primary task will depend on cross-modality (visual and audio) conditions of interrupting task. In this experiment we used the multi resource theory as a basis for analyzing interruptions and its effects. The results from the experiment will also help test another hypothesis …
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Evaluating the Aural/Oral Skills of Children Identified by the Slingerland Pre-Reading Screening Procedures
… This screening device was designed to "show modality weaknesses that call for specific instruction to prevent early failare" (Slingerland, 1977). All of the subtests from the Pre-Reading Screening Procedures are cross-modality tasks because the testing of a modality, "Auditory" or "Visual", …
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Topology of spatial texture in the acousmatic medium
… thinking. The theory draws from research on the cross-modality of texture perception, philosophical discourse on embodied meaning, physics, psychology of visual art, and discourse on space in acousmatic music. Several different structural perspectives are discussed, which reveal how spatial …
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Deep Learning Tools for Next-Generation Connectomics
… and more scalable 3D reconstruction algorithm -- cross-classification clustering (3C), for large-scale connectomics datasets. Third, we introduce a cross-modality image translation technique mapping fast X-ray images to EM images with enhanced segmentation quality. Finally, we introduced a …
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… The camera model demonstrates the feasibility of cross-modality learning with a camera input and LiDAR ground truth. Finally, the fusion network demonstrates the advantages of combining features between multiple modalities to improve model performance. While each model showcases its strengths, …
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Data-Efficient Machine Learning with Focus on Transfer Learning
… challenging TL topics: distant domain TL and cross-modality TL (image-text). A detailed algorithm introduction and preliminary results on real-world applications (Covid-19 diagnosis and image classification) will be presented. Then, I will discuss the current trends in TL algorithms and …
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Warning Compliance: Effects Of Stress And Working Memory
This study investigated the effects of cross-modality warning presentation and retention in a dual-task paradigm in a simulated military environment under various task-induced stress levels. It was also intended to determine what role working memory played in the mode of warning presentation that …
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Person ReID in Different Environment Settings Using Deep Learning Methods
… a Teacher-Student GAN model to solve the cross-modality person ReID problem. It adopts different domains and guides the ReID backbone. Unlike other GAN-based models, the proposed model only needs the backbone module at the test stage, making it more efficient and resource-saving. To …
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State estimation for autonomous mobile systems: Multi-IMU self-calibration and localization using 3D Gaussian splatting maps
… rendered images. I then extend this method to a cross-modal setting, enabling the localization of an infrared query image on a 3DGS map constructed from visible-light images. This is achieved by establishing feature point correspondences between a query infrared image and a synthetic visible …
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Developing an artificial colour-sound association for musical composition
Some great composers - Messiaen, Scriabin, Liszt in exemplum - have been found to have an internal colour world that responds to music and characterises the way they experience and express music. Many of these artists, it could be strongly argued, had the neurological trait synaesthesia. The …
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Recognition of Human Activities in Hybrid Teamwork with Industrial Robot Systems
… high performance under industrial conditions, cross-modality fusion of unknown sources, and weakly-supervised learning from unprepared samples. For the evaluation and training, generic datasets are used to improve transferability, along with realistic and limited domain-specific datasets to …