Results 21 to 30 of about 5,912,392 (297)
mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models
The R Journal, 2016 Finite mixture models are being used increasingly to model a wide variety of random phenomena for clustering, classification and density estimation. mclust is a powerful and popular package which allows modelling of data as a Gaussian finite mixture with
Luca Scrucca +3 more
semanticscholar +1 more source
Sparse Density Estimation with Measurement Errors
Entropy, 2021 This paper aims to estimate an unknown density of the data with measurement errors as a linear combination of functions from a dictionary. The main novelty is the proposal and investigation of the corrected sparse density estimator (CSDE).
Xiaowei Yang +3 more
doaj +1 more source
CNN-Based cascaded multi-task learning of high-level prior and density estimation for crowd counting [PDF]
Advanced Video and Signal Based Surveillance, 2017 Estimating crowd count in densely crowded scenes is an extremely challenging task due to non-uniform scale variations. In this paper, we propose a novel end-to-end cascaded network of CNNs to jointly learn crowd count classification and density map ...
Vishwanath A. Sindagi, Vishal M. Patel
semanticscholar +1 more source
A comparison of density estimation methods for monitoring marked and unmarked animal populations
Ecosphere, 2022 Effective monitoring of wildlife populations forms the foundation of modern‐day conservation biology. Without reliable estimates of population size, it is not possible to determine population trends, a key requirement in determining species status under ...
Joshua P. Twining +8 more
doaj +1 more source
Densities and perceptions of jaguars in coastal Nayarit, Mexico
Wildlife Society Bulletin, 2016 Conservation of large carnivores will require greater analyses of population parameters, habitat use, and distribution in multiuse landscapes as human populations increase and agriculture expands.
Joe J. Figel +2 more
doaj +1 more source
Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps
IEEE Access, 2020 The previous counting methods trained by the density map regression scheme fail to precisely count the number of birds in crowded bird images of various scales. This is due to the coarseness of the manually created target density maps.
Saehun Kim, Munchurl Kim
doaj +1 more source
A tutorial on kernel density estimation and recent advances [PDF]
, 2017 This tutorial provides a gentle introduction to kernel density estimation (KDE) and recent advances regarding confidence bands and geometric/topological features.
Yen-Chi Chen
semanticscholar +1 more source
Frontiers in Neuroscience, 2016 Independent Component analysis (ICA) is a widely used technique for separating signals that have been mixed together. In this manuscript, we propose a novel ICA algorithm using density estimation and maximum likelihood, where the densities of the signals
Shanshan eLi +3 more
doaj +1 more source
Entropy, 2021 One of the most rapidly advancing areas of deep learning research aims at creating models that learn to disentangle the latent factors of variation from a data distribution. However, modeling joint probability mass functions is usually prohibitive, which
Tommaso Boccato +2 more
doaj +1 more source
Densities for Ternary System of CaCl2–H2O–CO2 at Elevated P-T: An Experimental and Modeling Approach
Energies, 2018 Very few thermodynamic models exist for estimation of density alteration due to solution of CO2 in a pure H2O and CaCl2–H2O system. All of these models require density of CaCl2 solution to estimate density of CaCl2–H2O–CO2 system ...
Alireza Bastami +2 more
doaj +1 more source