Results 11 to 20 of about 1,722,167 (288)
Estimating snow leopard and prey populations at large spatial scales
Ecological Solutions and Evidence, 2021 Effective management of charismatic large carnivores requires robust monitoring of their population at local, regional and global scales. While enormous progress has been made to estimate carnivore populations at local scales, estimates at regional and ...
Kulbhushansingh Suryawanshi +11 more
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Estimating insect pest density using the physiological index of crop leaf
Frontiers in Plant Science, 2023 Estimating population density is a fundamental study in ecology and crop pest management. The density estimation of small-scale animals, such as insects, is a challenging task due to the large quantity and low visibility. An herbivorous insect is the big
Meng Chen, Xiang-Dong Liu
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Admissible predictive density estimation [PDF]
, 2008 Let $X|\mu\sim N_p(\mu,v_xI)$ and $Y|\mu\sim N_p(\mu,v_yI)$ be independent $p$-dimensional multivariate normal vectors with common unknown mean $\mu$. Based on observing $X=x$, we consider the problem of estimating the true predictive density $p(y|\mu ...
Brown, Lawrence D. +2 more
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Asymptotic Convergence of Soft-Constrained Neural Networks for Density Estimation
Mathematics, 2020 A soft-constrained neural network for density estimation (SC-NN-4pdf) has recently been introduced to tackle the issues arising from the application of neural networks to density estimation problems (in particular, the satisfaction of the second ...
Edmondo Trentin
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Remote Sensing, 2020 We investigated nearest-neighbor density-based clustering for hyperspectral image analysis. Four existing techniques were considered that rely on a K-nearest neighbor (KNN) graph to estimate local density and to propagate labels through algorithm ...
Claude Cariou +2 more
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Multiscale Feature Adaptive Integration for Crowd Counting in Highly Congested Scenes
IEEE Access, 2022 Due to extreme scale variations in highly congested scenes, the accuracy of CNN-based crowd counting approaches still has considerable room for further improvements.
Hui Gao +4 more
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Adaptive density estimation under dependence [PDF]
, 2008 Assume that $(X_t)_{t\in\Z}$ is a real valued time series admitting a common marginal density $f$ with respect to Lebesgue's measure. Donoho {\it et al.} (1996) propose a near-minimax method based on thresholding wavelets to estimate $f$ on a compact set
Andrews +17 more
core +7 more sources
Kernel density estimation via diffusion [PDF]
, 2010 We present a new adaptive kernel density estimator based on linear diffusion processes. The proposed estimator builds on existing ideas for adaptive smoothing by incorporating information from a pilot density estimate.
Botev, Z. I. +2 more
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Self-consistent method for density estimation [PDF]
, 2010 The estimation of a density profile from experimental data points is a challenging problem, usually tackled by plotting a histogram. Prior assumptions on the nature of the density, from its smoothness to the specification of its form, allow the design of
Berlinet +34 more
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Density estimates for Canada lynx vary among estimation methods
Ecosphere, 2021 Unbiased population density estimates are critical for ecological research and wildlife management but are often difficult to obtain. Researchers use a variety of sampling and statistical methods to generate estimates of density, but few studies have ...
D. Doran‐Myers +8 more
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