Results 21 to 30 of about 21,191 (172)
Predicting Brain Degeneration with a Multimodal Siamese Neural Network [PDF]
2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), 2020 To study neurodegenerative diseases, longitudinal studies are carried on volunteer patients. During a time span of several months to several years, they go through regular medical visits to acquire data from different modalities, such as biological samples, cognitive tests, structural and functional imaging.
Cecilia Ostertag +4 more
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KD-Fixmatch: Knowledge Distillation Siamese Neural Networks
2023 IEEE International Conference on Image Processing (ICIP), 2023 Semi-supervised learning (SSL) has become a crucial approach in deep learning as a way to address the challenge of limited labeled data. The success of deep neural networks heavily relies on the availability of large-scale high-quality labeled data. However, the process of data labeling is time-consuming and unscalable, leading to shortages in labeled ...
Chien-Chih Wang +4 more
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Analysing Siamese Neural Network Architectures for Computing Name Similarity.
International Journal of Population Data Science, 2022 Introduction A wide assortment of string similarity measures can be used to determine how similar two names are. A diverse set of discriminating and independent features for name similarity are important for classification during record linkage.
Nicholas Vinden +2 more
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Realizing Video Analytic Service in the Fog-Based Infrastructure-Less Environments [PDF]
, 2020 Deep learning has unleashed the great potential in many fields and now is the most significant facilitator for video analytics owing to its capability to providing more intelligent services in a complex scenario. Meanwhile, the emergence of fog computing
Gao, Longxiang +4 more
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Detecting Homoglyph Attacks with a Siamese Neural Network [PDF]
2018 IEEE Security and Privacy Workshops (SPW), 2018 A homoglyph (name spoofing) attack is a common technique used by adversaries to obfuscate file and domain names. This technique creates process or domain names that are visually similar to legitimate and recognized names. For instance, an attacker may create malware with the name svch0st.exe so that in a visual inspection of running processes or a ...
Jonathan Woodbridge +3 more
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Remote Sensing, 2022 In the context of carbon neutrality, forest cover change detection has become a key topic of global environmental monitoring. As a large-scale monitoring technique, remote sensing has received obvious attention in various land cover observation ...
Yantao Guo +7 more
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A Cross-Domain Change Detection Network Based on Instance Normalization
Remote Sensing, 2023 Change detection is a crucial task in remote sensing that finds broad application in land resource planning, forest resource monitoring, natural disaster monitoring, and evaluation.
Yabin Song +5 more
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A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images
Remote Sensing, 2023 Building change detection (BuCD) can offer fundamental data for applications such as urban planning and identifying illegally-built new buildings. With the development of deep neural network-based approaches, BuCD using high-spatial-resolution remote ...
Haiping Yang +6 more
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Siamese Graph Neural Networks for Data Integration
CoRR, 2020 Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automation. Recent development in machine learning and in particular deep learning has opened the way to more general and more efficient solutions to data integration problems.
Evgeny Krivosheev +4 more
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Enhancing Text Similarity Measurement with Hybrid Siamese Neural Networks and Lexical Features [PDF]
Advances in Engineering and Intelligence SystemsAccurately measuring text similarity holds significant importance in various text-centric applications, including text clustering, information retrieval, and question/answer systems.
Bei Zhou
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