Results 31 to 40 of about 131,772 (305)
Ilkom Jurnal Ilmiah, 2023 Academic services are actions taken by state and private universities to provide convenience for student’s academic activities. During the current covid-19 pandemic, every university remains active in academic activities.
Andi Bode +2 more
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Local feature weighting in nearest prototype classification [PDF]
, 2008 The distance metric is the corner stone of nearest neighbor (NN)-based methods, and therefore, of nearest prototype (NP) algorithms. That is because they classify depending on the similarity of the data.
Isasi, Pedro +2 more
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Random k conditional nearest neighbor for high-dimensional data [PDF]
PeerJ Computer ScienceThe k nearest neighbor (kNN) approach is a simple and effective algorithm for classification and a number of variants have been proposed based on the kNN algorithm. One of the limitations of kNN is that the method may be less effective when data contains
Jiaxuan Lu, Hyukjun Gweon
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Jurnal Lebesgue, 2023 The purpose of this study was to predict whether mathematics students at Padang State University have the opportunity to become campus activists using the K-Nearest Neighbor Algorithm (KNN). This research will be used as a benchmark to calculate how many
Muhammad Fadhli Gusvino, Defri Ahmad
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Lip language identification via Wavelet entropy and K-nearest neighbor algorithm
EAI Endorsed Transactions on e-Learning, 2021 INTRODUCTION: Image processing technology is widely used in lip recognition, which can automatically detect and analyse the unstable shape of human lips.
Ran Wang +7 more
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Network intrusion detection based on random k-nearest neighbor ensemble algorithm
Nantong Daxue xuebao. Ziran kexue ban, 2023 To improve the accuracy and generalization of network intrusion detection models, a model based on the random k-nearest neighbor(k-NN) ensemble algorithm is proposed for network flow intrusion detection.
ZHANG Chengye; LI Zhuoxuan; CAO Jinde
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Two-Pass K Nearest Neighbor Search for Feature Tracking
IEEE Access, 2018 In recent years, feature tracking has become one of the most important research topics in computer vision. Many efforts have been made to design excellent feature matching methods. For large-scale structure from motion, however, existing feature tracking
Mingwei Cao +5 more
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On the Robustness of Deep K-Nearest Neighbors [PDF]
2019 IEEE Security and Privacy Workshops (SPW), 2019 Published at Deep Learning and Security Workshop 2019 (IEEE S&P)
Chawin Sitawarin, David A. Wagner 0001
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Parallel K Nearest Neighbor Matching for 3D Reconstruction
IEEE Access, 2019 In recent years, a 3D reconstruction based on structure from motion (SFM) has attracted much attention from the communities of computer vision and graphics.
Ming-Wei Cao +6 more
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k-nearest neighbors in uncertain graphs [PDF]
Proceedings of the VLDB Endowment, 2010 Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs . Similar to the problem of similarity search in standard graphs, a fundamental problem for probabilistic graphs is to efficiently answer k-nearest neighbor
Michalis Potamias +3 more
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