Results 21 to 30 of about 392,201 (264)
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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Tensor-Train Density Estimation
CoRR, 2021 Accepted for the 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021)
Georgii S. Novikov +2 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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Mathematics, 2022 A difficult and open problem in artificial intelligence is the development of agents that can operate in complex environments which change over time. The present communication introduces the formal notions, the architecture, and the training algorithm of
Edmondo Trentin
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Featurized Density Ratio Estimation
CoRR, 2021 First two authors contributed ...
Kristy Choi +2 more
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Estimation of Densities and Applications
Journal of Theoretical Probability, 1998 In this paper we show some estimates for the density of a random variable on the Wiener space that satisfies a nondegeneracy condition using the stochastic calculus of variations. The case of a diffusion process is considered, and an application to the solution of a stochastic partial differential equation is discussed.
Caballero, M. E. (María Emilia) +2 more
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An assessment of sampling designs using SCR analyses to estimate abundance of boreal caribou
Ecology and Evolution, 2020 Accurately estimating abundance is a critical component of monitoring and recovery of rare and elusive species. Spatial capture–recapture (SCR) models are an increasingly popular method for robust estimation of ecological parameters.
Samantha McFarlane +6 more
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J. Mach. Learn. Res., 2010 We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estimation, we do not assume the true distribution corresponds to a forest; rather, we form kernel density estimates of the bivariate and univariate marginals, and apply Kruskal's ...
Han Liu 0001 +5 more
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The Estimation of Conditional Densities [PDF]
, 2000 We discuss a number of issues in the smoothed nonparametric estimation of kernel conditional probability density functions for stationary processes. The kernel conditional density estimate is a ratio of joint and marginal density estimates. We point out the different implications of leading choices of bandwidths in numerator and denominator for the ...
Xiaohong Chen +2 more
openaire +3 more sources