A Siamese neural network for learning the similarity metrics of linear features
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2022.2143505
Abstract: Abstract Measuring similarity is essential for classifying, clustering, retrieving, and matching linear features in geospatial data. However, the complexity of linear features challenges the formalization of characteristics and determination of the weight of each characteristic… read more here.
Keywords: neural network; linear features; similarity; siamese neural ... See more keywords
Infrastructure growth assessment of urban areas based on multi-temporal satellite images and linear features
Sign Up to like & getrecommendations! Published in 2017 at "Annals of GIS"
DOI: 10.1080/19475683.2017.1325935
Abstract: ABSTRACT Urbanization is typically demonstrated by expansion of a city’s infrastructure, mainly development of its roads and buildings. In particular, transportation infrastructure is a key indicator of growth in the city since transportation is the… read more here.
Keywords: temporal satellite; methodology; growth; multi temporal ... See more keywords
Bias-variance decomposition of overparameterized regression with random linear features
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.025304
Abstract: In classical statistics, the bias-variance trade-off describes how varying a model's complexity (e.g., number of fit parameters) affects its ability to make accurate predictions. According to this trade-off, optimal performance is achieved when a model… read more here.
Keywords: variance; linear features; random linear; bias variance ... See more keywords
ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220388
Abstract: In this paper, we present an approach to improve the accuracy and reliability of ECG classification. The proposed method combines features analysis of linear and non-linear ECG dynamics. Non-linear features are represented by complexity measures… read more here.
Keywords: ecg classification; non linear; linear features; linear non ... See more keywords
Tissue-Specific Sample Dilution: An Important Parameter to Optimise Prior to Untargeted LC-MS Metabolomics
Sign Up to like & getrecommendations! Published in 2019 at "Metabolites"
DOI: 10.3390/metabo9070124
Abstract: When developing a sample preparation protocol for LC–MS untargeted metabolomics of a new sample matrix unfamiliar to the laboratory, selection of a suitable injection concentration is rarely described. Here we developed a simple workflow to… read more here.
Keywords: tissue; adipose tissue; esi linear; linear features ... See more keywords