Results 11 to 20 of about 21,191 (172)
Roof type classification with innovative machine learning approaches [PDF]
PeerJ Computer Science, 2023 Recently, convolutional neural network-based methods have been used extensively for roof type classification on images taken from space. The most important problem with classification processes using these methods is that it requires a large amount of ...
Naim Ölçer, Didem Ölçer, Emre Sümer
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Siamese Neural Networks for Detecting Complementary Products [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021 Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment. In this paper, we focus on identifying a complementary relationship between the products of an e-commerce company.
Marina Angelovska +3 more
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An Explanation Method for Siamese Neural Networks [PDF]
, 2021 International Scientific Conference Telecommunications, Computing and Control (TELECCON-2019)
Lev V. Utkin +2 more
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Siamese neural networks in recommendation
Neural Computing and Applications, 2023 AbstractRecommender systems are widely adopted as an increasing research and development area, since they provide users with diverse and useful information tailored to their needs. Several strategies have been proposed, and in most of them some concept of similarity is used as a core part of the approach, either between items or between users.
Nicolás Serrano, Alejandro Bellogín
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Компьютерная оптика, 2023 The article analyzes the possibility of using a Siamese convolutional neural network to solve the problem of vascular authentication on an embedded hardware platform with limited computing resources (Orange Pi One).
D.E. Prozorov, A.V. Zemtsov
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Cow Face Recognition for a Small Sample Based on Siamese DB Capsule Network
IEEE Access, 2022 Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences between individuals are
Feng Xu, Jing Gao, Xin Pan
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Class-balanced siamese neural networks [PDF]
Neurocomputing, 2018 Original siamese neural network objective function.Polar sine-based angular reformulation for cosine dissimilarity learning.Application on a multimodal human action dataset.New evaluations of 3 siamese neural networks using input data pairs, triplets and tuples.Projection space analysis and computation complexity.
Berlemont, Samuel +3 more
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EFFICIENCY OF SUPPLEMENTARY OUTPUTS IN SIAMESE NEURAL NETWORKS
Advanced Information Systems, 2023 In the world of image analysis, effectively handling large image datasets is a complex challenge that requires using deep neural networks. Siamese neural networks, known for their twin-like structure, offer an effective solution to image comparison tasks, especially when data volume is limited.
Melnychenko, Artem, Zdor, Kostyantyn
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Face Recognition Method Based on Siamese Networks Under Non-Restricted Conditions
IEEE Access, 2022 Face recognition is an important part of computer vision, and has a vital role to play in public safety. Because of the problems of low accuracy and low efficiency in the case of uneven image quality and occlusion due to sudden changes in light in face ...
Cunli Song, Shouyong Ji
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Siamese Neural Networks for Class Activity Detection [PDF]
, 2020 Classroom activity detection (CAD) aims at accurately recognizing speaker roles (either teacher or student) in classrooms. A CAD solution helps teachers get instant feedback on their pedagogical instructions. However, CAD is very challenging because (1) classroom conversations contain many conversational turn-taking overlaps between teachers and ...
Hang Li 0007 +4 more
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