Efficient computation of the convex hull on sets of points stored in a k-tree compact data structure
Sign Up to like & getrecommendations! Published in 2020 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-020-01486-9
Abstract: In this paper, we present two algorithms to obtain the convex hull of a set of points that are stored in the compact data structure called k2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt}… read more here.
Keywords: compact data; convex hull; usepackage; data structure ... See more keywords
Measuring the effects of street network configurations on walking in Seoul, Korea
Sign Up to like & getrecommendations! Published in 2017 at "Cities"
DOI: 10.1016/j.cities.2017.07.005
Abstract: Abstract Many scholars have confirmed the close correlation between street network configurations and pedestrian behavior. To elaborate on this discussion and to analyze the connection between street layout and walking using sophisticated methods, we attempt… read more here.
Keywords: network; radius; street; convex hull ... See more keywords
Convex hull as diagnostic tool in single-molecule localization microscopy
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac700
Abstract: MOTIVATION Single-molecule localization microscopy resolves individual fluorophores or fluorescence-labeled biomolecules. Data is provided as a set of localizations that distribute normally around the true fluorophore position with a variance determined by the localization precision. Characterizing… read more here.
Keywords: localization microscopy; single molecule; localization; convex hull ... See more keywords
Protein pocket detection via convex hull surface evolution and associated Reeb graph
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DOI: 10.1093/bioinformatics/bty598
Abstract: Motivation Protein pocket information is invaluable for drug target identification, agonist design, virtual screening and receptor‐ligand binding analysis. A recent study indicates that about half holoproteins can simultaneously bind multiple interacting ligands in a large… read more here.
Keywords: hull surface; convex hull; protein pocket; surface evolution ... See more keywords
Evolutionary construction of a formation-energy convex hull: Practical scheme and application to a carbon-hydrogen binary system
Sign Up to like & getrecommendations! Published in 2020 at "Physical Review B"
DOI: 10.1103/physrevb.101.214106
Abstract: We present an evolutionary construction technique of formation energy convex hull to search for thermodynamically stable compounds. In this technique, candidates with a wide variety of chemical compositions and crystal structures are created by systematically… read more here.
Keywords: formation energy; hydrogen; evolutionary construction; convex hull ... See more keywords
Facets on the convex hull of d-dimensional Brownian and Lévy motion.
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.032129
Abstract: For stationary, homogeneous Markov processes (viz., Lévy processes, including Brownian motion) in dimension d≥3, we establish an exact formula for the average number of (d-1)-dimensional facets that can be defined by d points on the… read more here.
Keywords: motion; convex hull; hull dimensional; dimensional brownian ... See more keywords
Secret Image Restoration With Convex Hull and Elite Opposition-Based Learning Strategy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3252403
Abstract: Digital images are easily corrupted during transmission. Most image denoising methods cannot perform well on restoring the secret image extracted from a corrupted stego image. To deal with this issue, we propose a new secret… read more here.
Keywords: opposition based; convex hull; elite opposition; based learning ... See more keywords
Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3140248
Abstract: Detecting oriented and densely packed objects is a challenging problem considering that the receptive field intersection between objects causes spatial feature aliasing. In this paper, we propose a convex-hull feature adaptation (CFA) approach, with the… read more here.
Keywords: hull feature; convex hull; oriented densely; feature ... See more keywords
Network-Flow-Based Formulations for Convex Hull Pricing With Maximum Start-Ups
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2021.3100560
Abstract: Reducing uplift payments has been a challenging problem for most wholesale markets in the U.S. The main difficulty comes from the discrete decision-making and non-linear objective function in the unit commitment (UC) problem. Recently, the… read more here.
Keywords: flow based; network flow; convex hull; hull pricing ... See more keywords
Sparse and Flexible Convex-Hull Representation for Machine Degradation Modeling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2022.3164976
Abstract: Convex hulls based maximum margin classification has been widely studied for machine fault diagnosis, while its exploration for machine degradation modeling is seldom reported. In this study, a sparse and flexible convex-hull representation for machine… read more here.
Keywords: convex hull; machine; flexible convex; convex ... See more keywords
Nearest Convex Hull Classification Based on Linear Programming
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Recognition and Image Analysis"
DOI: 10.1134/s1054661821020139
Abstract: Machine learning methods for automatic classification problems using computational geometry are considered. Classes are defined by convex hulls of sets of points in a multidimensional feature space. The classification algorithms based on the evaluation of… read more here.
Keywords: classification; convex hull; nearest convex; linear programming ... See more keywords