Are Ly α emitters segregated in protoclusters regions?
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa3027
Abstract: The presence of neutral hydrogen in the inter-stellar medium (ISM) and inter-galactic medium (IGM) induces radiative transfer (RT) effects on Ly{\alpha} photons which affect the observability of Ly{\alpha} emitters (LAEs). We use the GALFORM semi-analytic… read more here.
Keywords: density regions; emitters segregated; high density; haes laes ... See more keywords
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3208714
Abstract: In real-world crowd counting applications, the crowd densities in an image vary greatly. When facing density variation, humans tend to locate and count the targets in low-density regions, and reason the number in high-density regions.… read more here.
Keywords: density regions; adaptive selection; density; cnn transformer ... See more keywords
PixelatedScatter: Arbitrary-level Visual Abstraction for Large-scale Multiclass Scatterplots.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on visualization and computer graphics"
DOI: 10.1109/tvcg.2025.3633908
Abstract: Overdraw is inevitable in large-scale scatterplots. Current scatterplot abstraction methods lose features in medium-to-low density regions. We propose a visual abstraction method designed to provide better feature preservation across arbitrary abstraction levels for large-scale scatterplots,… read more here.
Keywords: visual abstraction; abstraction; pixelatedscatter arbitrary; density regions ... See more keywords
AutoSCAN: automatic detection of DBSCAN parameters and efficient clustering of data in overlapping density regions
Sign Up to like & getrecommendations! Published in 2024 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1921
Abstract: The density-based clustering method is considered a robust approach in unsupervised clustering technique due to its ability to identify outliers, form clusters of irregular shapes and automatically determine the number of clusters. These unique properties… read more here.
Keywords: original algorithm; density regions; density; overlapping density ... See more keywords