Calibrating cluster number counts with CMB lensing
Sign Up to like & getrecommendations! Published in 2017 at "Physical Review D"
DOI: 10.1103/physrevd.95.043517
Abstract: CMB Stage-4 experiments aim to reduce the uncertainties on the gravitational lensing potential by an order of magnitude compared to current measurements, and to also produce a Sunyaev-Zel'dovich (SZ) cluster catalog containing $\ensuremath{\sim}1{0}^{5}$ objects, two… read more here.
Keywords: calibrating cluster; ensuremath; cmb lensing; cluster number ... See more keywords
Bayesian Adversarial Spectral Clustering With Unknown Cluster Number
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3016491
Abstract: Spectral clustering is a popular tool in many unsupervised computer vision and machine learning tasks. Recently, due to the encouraging performance of deep neural networks, many conventional spectral clustering methods have been extended to the… read more here.
Keywords: clustering methods; cluster number; spectral clustering; method ... See more keywords