Zobrazeno 1 - 10
of 2 859
pro vyhledávání: '"Locality Sensitive Hashing"'
Publikováno v:
EURASIP Journal on Information Security, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract Cancelable template protection techniques are indispensable to provide essential security and privacy privileges in biometric systems. This paper introduces an efficient cancelable palmprint recognition technique based on multi-level transfo
Externí odkaz:
https://doaj.org/article/95746eea275a4315aca10b20c86c3e4f
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Trajectory data, increasingly available due to location tracking technologies, holds immense potential for intelligent traffic management and urban planning. Traditional 'attractive region' mining methods often rely on density-based clustering, negle
Externí odkaz:
https://doaj.org/article/ada6f4c9b734436ba17df67806bf50ac
Publikováno v:
Advanced Electronic Materials, Vol 10, Iss 10, Pp n/a-n/a (2024)
Abstract Self‐attention mechanism is critically central to the state‐of‐the‐art transformer models. Because the standard full self‐attention has quadratic complexity with respect to the input's length L, resulting in prohibitively large mem
Externí odkaz:
https://doaj.org/article/29808aeb5d76400dbe10823b154107f1
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-13 (2024)
Abstract The increasing popularity of various intelligent sensor and mobile communication technologies has enabled quick health physique sensing, monitoring, collection and analyses of students, which significantly promoted the development of sport e
Externí odkaz:
https://doaj.org/article/8eddcc02fdd84fdaa1e31812513a9d1f
Autor:
Yongxin Peng
Publikováno v:
IEEE Access, Vol 12, Pp 103096-103103 (2024)
The k-Nearest Neighbor (kNN) search is a crucial problem in database and data mining, especially in high-dimensional space. However, traditional kNN algorithms based on distance metrics and brute-force search often have low search efficiency and accu
Externí odkaz:
https://doaj.org/article/ee947a244927411f8138150dbf9de9df
Publikováno v:
IEEE Access, Vol 12, Pp 15791-15799 (2024)
Graphs classification is a relevant problem that arises in many disciplines. Using graphs directly instead of vectorization allows exploiting the intrinsic representations of the data. Support Vector Machines (SVM) is a supervised learning method bas
Externí odkaz:
https://doaj.org/article/1398d2d12fda4258b6ecba3f4e891a13
Autor:
Ke Chen, Mingfu Shao
Publikováno v:
Algorithms for Molecular Biology, Vol 18, Iss 1, Pp 1-13 (2023)
Abstract Background Many bioinformatics applications involve bucketing a set of sequences where each sequence is allowed to be assigned into multiple buckets. To achieve both high sensitivity and precision, bucketing methods are desired to assign sim
Externí odkaz:
https://doaj.org/article/d94414ea00ea4731860621927db839ab
Publikováno v:
Jisuanji kexue, Vol 50, Iss 4, Pp 32-39 (2023)
Nearest neighbor search has become a significant research problem due to its wide applications.Traditional spatial index structures such as R-tree and KD-tree can efficiently return accurate nearest neighbor search results in low-dimensional space,bu
Externí odkaz:
https://doaj.org/article/10a628b4a20643e69759417ee03bff23
Publikováno v:
Agriculture, Vol 14, Iss 6, p 949 (2024)
Loop closure detection plays an important role in the construction of reliable maps for intelligent agricultural machinery equipment. With the combination of convolutional neural networks (CNN), its accuracy and real-time performance are better than
Externí odkaz:
https://doaj.org/article/4688a98685a8407d8a05736e33f9e895
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 3, Pp 53-62 (2023)
Efficient processing strategy for large datasets is a key support for coal mine intelligent constructions, such as the intelligent construction of coal mine safety monitoring and mining. To address the problem of insufficient clustering efficiency an
Externí odkaz:
https://doaj.org/article/cb79ded4755d40d5af1f9d68439a132c