Assessing similarities between spatial point patterns with a siamese neural network discriminant model

DOI10.1007/s11634-021-00485-0OpenAlexW4206420516MaRDI QIDQ6106143

Jorge Mateu, Abdullah H. Jalilian

Publication date: 27 June 2023

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-021-00485-0

zbMATH Keywords

interactionsclassificationinhomogeneitydissimilaritydeep learningspatial point processes

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Metrics and barycenters for point pattern data
• On the higher order product density functions of a Neyman-Scott cluster point process
• Regularized estimation for highly multivariate log Gaussian Cox processes
• Resample-smoothing of Voronoi intensity estimators
• On the classification problem for Poisson point processes
• Simulation study of dissimilarity between point processes
• A new metric between distributions of point processes
• Log Gaussian Cox Processes
• Metric-space analysis of spike trains: theory, algorithms and application
• Modelling and classification of species abundance: a case study in the Barro Colorado Island plot
• On measures of dissimilarity between point patterns: Classification based on prototypes and multidimensional scaling
• Statistical Analysis and Modelling of Spatial Point Patterns
• Structural, Syntactic, and Statistical Pattern Recognition
• A Tutorial on Palm Distributions for Spatial Point Processes

This page was built for publication: Assessing similarities between spatial point patterns with a siamese neural network discriminant model