Results 21 to 30 of about 414,017 (186)

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, Lin Li, Wen-Jun Xie, Wei Jia, Zhi-Han Lv, Li-Ping Zheng, Xiao-Ping Liu   +6 more
doaj   +1 more source

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
doaj   +1 more source

Nearest Neighbor and Contact Distance Distribution for Binomial Point Process on Spherical Surfaces [PDF]

, 2020
This letter characterizes the statistics of the contact distance and the nearest neighbor (NN) distance for binomial point processes (BPP) spatially-distributed on spherical surfaces.
Alouini, Mohamed-Slim, Kishk, Mustafa A., Talgat, Anna   +2 more
core   +2 more sources

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, Yifan Cui, Xinyu Gao, Wei Chen, Mingbo Hu, Qian Li, Jiahui Wei, XianWei Jiang   +7 more
doaj   +1 more source

Random k conditional nearest neighbor for high-dimensional data [PDF]

PeerJ Computer Science
The 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
doaj   +2 more sources

Locality Preserving Projection Method Based on Optimal Nearest Neighbor [PDF]

Jisuanji gongcheng
Locality Preserving Projection(LPP) is a classical dimensionality reduction method used in machine learning. However, the LPP method and some improved methods simply use the k-Nearest Neighbor(k-NN) classification algorithm to find the nearest neighbors ...
ZHAO Juntao, LI Taoshen, LU Zhixiang
doaj   +1 more source

Classification of frontal alpha asymmetry using k-Nearest Neighbor [PDF]

, 2012
Frontal alpha asymmetry is used as the EEG feature in this study. Total number of 43 students participated in EEG data collections of relax and non-relax conditions.
Mohd. Aris, Siti Armiza, Sulaiman, Norizam, Taib, Mohd. Nasir   +2 more
core   +1 more source

Weighted k-Nearest-Neighbor Techniques and Ordinal Classification [PDF]

, 2004
In the field of statistical discrimination k-nearest neighbor classification is a well-known, easy and successful method. In this paper we present an extended version of this technique, where the distances of the nearest neighbors can be taken into ...
Hechenbichler, K., Schliep, K.
core   +2 more sources

Implementasi Algoritma K-Nearest Neighbor Berbasis Forward Selection Untuk Prediksi Mahasiswa Non Aktif Universitas Dian Nuswantoro Semarang

JOINS (Journal of Information System), 2020
Masalah yang muncul berkaitan dengan status mahasiswa salah satunya adalah status mahasiswa yang non aktif. Beberapa faktor penyebab status non aktif tersebut diantaranya adalah faktor ekonomi, kemampuan akademik, dan lain – lain.
Abu Salam, Ferry Bintang Nugroho, Junta Zeniarja   +2 more
doaj   +1 more source

Balanced $k$-nearest neighbor imputation

, 2015
In order to overcome the problem of item nonresponse, random imputation methods are often used because they tend to preserve the distribution of the imputed variable.
Hasler, Caren, Tillé, Yves
core   +1 more source