Principal component analysis of hybrid functional and vector data.
Sign Up to like & getrecommendations! Published in 2021 at "Statistics in medicine"
DOI: 10.1002/sim.9117
Abstract: We propose a practical principal component analysis (PCA) framework that provides a nonparametric means of simultaneously reducing the dimensions of and modeling functional and vector (multivariate) data. We first introduce a Hilbert space that combines… read more here.
Keywords: vector; hybrid functional; principal component; vector data ... See more keywords
HBase storage schemas for massive spatial vector data
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1253-1
Abstract: With the development of Geographic Information System (GIS), the storage requirement of spatial vector data is increasing dramatically. Nowadays, designing an efficient storage schema for massive spatial vector data becomes a key step for GIS.… read more here.
Keywords: storage; hbase; spatial vector; vector data ... See more keywords
Commutative encryption and watermarking based on SVD for secure GIS vector data
Sign Up to like & getrecommendations! Published in 2021 at "Earth Science Informatics"
DOI: 10.1007/s12145-021-00684-5
Abstract: Commutative encryption and watermarking (CEW) can provide comprehensive protection for vector data in geographical information system (GIS) by integrating encryption and watermarking. However, the existing CEW methods for image or video are not suitable for… read more here.
Keywords: encryption watermarking; vector data; encryption; gis vector ... See more keywords
Fast distant support vector data description
Sign Up to like & getrecommendations! Published in 2017 at "Memetic Computing"
DOI: 10.1007/s12293-016-0189-y
Abstract: As an indispensable approach of one class classification, support vector data description (SVDD) has been studied within diverse research areas and application domains. Distant SVDD (dSVDD) is a variant of SVDD that shows higher identification… read more here.
Keywords: fast distant; support vector; vector data; svdd ... See more keywords
A graph convolutional neural network for classification of building patterns using spatial vector data
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.02.010
Abstract: Abstract Machine learning methods, specifically, convolutional neural networks (CNNs), have emerged as an integral part of scientific research in many disciplines. However, these powerful methods often fail to perform pattern analysis and knowledge mining with… read more here.
Keywords: neural network; spatial vector; graph convolutional; vector data ... See more keywords
Characterizing the Vector Data Ecosystem
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Medical Entomology"
DOI: 10.1093/jme/tjad009
Abstract: Abstract A growing body of information on vector-borne diseases has arisen as increasing research focus has been directed towards the need for anticipating risk, optimizing surveillance, and understanding the fundamental biology of vector-borne diseases to… read more here.
Keywords: characterizing vector; research; vector data; vector ... See more keywords
Counterfactual building and evaluation via eXplainable Support Vector Data Description
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3180026
Abstract: Increasingly in recent times, the mere prediction of a machine learning algorithm is considered insufficient to gain complete control over the event being predicted. A machine learning algorithm should be considered reliable in the way… read more here.
Keywords: vector data; support vector; support; data description ... See more keywords
Query by Example in Remote Sensing Image Archive Using Enhanced Deep Support Vector Data Description
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3233105
Abstract: This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification to recover the most relevant samples from the archive.… read more here.
Keywords: remote sensing; data description; support vector; center ... See more keywords
Detection Anomaly in Video Based on Deep Support Vector Data Description
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5362093
Abstract: Video surveillance systems have been widely deployed in public places such as shopping malls, hospitals, banks, and streets to improve the safety of public life and assets. In most cases, how to detect video abnormal… read more here.
Keywords: data description; support vector; vector data; deep support ... See more keywords
An effective multivariate control chart for detecting small mean shifts using support vector data description
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814018810625
Abstract: Conventional multivariate cumulative sum control charts are more sensitive to small shifts than T 2 control charts, but they cannot get the knowledge of manufacturing process through the learning of in-control data due to the… read more here.
Keywords: support vector; control; vector data; data description ... See more keywords
Tiled vector data model for the geographical features of symbolized maps
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0176387
Abstract: Electronic maps (E-maps) provide people with convenience in real-world space. Although web map services can display maps on screens, a more important function is their ability to access geographical features. An E-map that is based… read more here.
Keywords: vector; geographical features; tiled vector; vector data ... See more keywords