Results 41 to 50 of about 27,134 (120)
Computing feature matrices using PCA-SVD hybrid method on small-scale systems
Tạp chí Khoa học và Công nghệThe task of performing feature extraction from input matrices is a well-known problem in biometric recognition. This paper aims to develop an effective method for reduction and decomposition on large matrices with low required computational resources and
Le Tien Hung +3 more
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Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark
Algorithms, 2020 At the dawn of the 10V or big data data era, there are a considerable number of sources such as smart phones, IoT devices, social media, smart city sensors, as well as the health care system, all of which constitute but a small portion of the data lakes ...
Athanasios Alexopoulos +4 more
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JGE, 2020 Oil field research in regional Banyuasin “HUF” , South Sumatra have been done by the gravity data with objective of knowing fault structure based on analysis of hydrocarbon SVD and knows hollow structure based on the 3D model of the Bouguer Anomaly and ...
Ade Setiawan, Bagus Sapto Mulyatno
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Probabilistic matrix clustering with feature priors for unbiased control selection
Научно-технический вестник информационных технологий, механики и оптикиWe propose a probabilistic matrix-clustering method that leverages a prior distribution of features and dimensionality reduction (Singular Value Decomposition, SVD). The approach identifies, within a large control pool, a cluster statistically comparable
D. A. Usoltsev
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Coordinate transformation parameters in Nepal by using neural network and SVD methods
Journal of Geodetic Science, 2019 The present study computes B-W extension model (extended Bursa-Wolf model) coordinate transformation parameters from World Geodetic System 1984 (WGS-84) to the Everest datum namely Everest (1830) and Everest (1956) using records of coordinate ...
Ansari Kutubuddin +3 more
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Вестник Дагестанского государственного технического университета: Технические наукиObjective. The paper defines the relevance of the task of increasing the efficiency of software, which in this case is understood as reducing the operating time of the designed software in the process of solving computationally complex problems.
A. Yu. Bezruchenko, V. A. Egunov
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Human action recognition based on back propagation neural network
网络与信息安全学报, 2017 For human action recognition,an algorithm for classifying human action based on back propagation (BP) neural network was proposed.Firstly,singular value decomposition (SVD) was used to extract the singular value of each frame of the video.Then each row ...
Jian ZOU
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A NEW NESTED HYBRID DWT-HD-SVD WATERMARKING SCHEME FOR DIGITAL IMAGES
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗDigital watermarking encrypts private information with the original data to protect the ownership rights of the digital asset. This paper suggests a brand-new nested watermarking technique (two-level watermarking technique) to protect copyrights of ...
Sara R. Qasim +2 more
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Predicting pairwise relations with neural similarity encoders [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2018 F. Horn, K.-R. Müller
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Adaptively Optimized Combination of Phased-Array MR Spectroscopy Data Without Noise Correlation Estimation: A Joint Diagonalization Method. [PDF]
NMR BiomedFang L +4 more
europepmc +1 more source