Results 1 to 10 of about 4,333,581 (301)
Shifting foundations and metrics for golden‐cheeked warbler recovery
Wildlife Society Bulletin, 2012 Using the golden‐cheeked warbler (Setophaga chrysoparia) as a case study, this paper discusses what lessons can be learned from the process of the emergency listing and subsequent development of the recovery plan.
Jeff S. Hatfield +2 more
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Sheep Counting Method Based on Multiscale Module Deep Neural Network
IEEE Access, 2022 Due to the uneven distribution and large scale change of sheep in the pasture, it is not conducive to the counting and statistics of sheep in animal husbandry.
Jianming Xu +3 more
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Fuzzy Histograms and Density Estimation [PDF]
, 2007 Estimateur de densité de probabilité basé sur les histogrammes flous, avec théorème et preuve de convergence pour le critère MSE.
Loquin, Kevin, Strauss, Olivier
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Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting
IEEE Access, 2020 In this paper we propose a novel regression based RGBD crowd counting method. Compared with previous RGBD crowd counting methods which mainly exploit depth cue to facilitate person/head detection, our approach adopts density map regression and is more ...
Desen Zhou, Qian He
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The Density of the Maximum Likelihood Estimator
Econometrica, 1999 In this paper we derive an expression for the exact density of the maximum likelihood estimator (MLE) in the case where the MLE is uniquely defined at each point in the sample space by the vanishing of the score vector.
Hillier, G, Armstrong, M
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Independent Density Estimation
CoRRLarge-scale Vision-Language models have achieved remarkable results in various domains, such as image captioning and conditioned image generation. Nevertheless, these models still encounter difficulties in achieving human-like compositional generalization. In this study, we propose a new method called Independent Density Estimation (IDE) to tackle this
Jiahao Liu, Senhao Cao
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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
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The Estimation of Spectral Densities
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1962 SUMMARY A method of estimating spectral densities is developed which uses the data explicitly to help determine the best smoothing procedure. Two techniques are discussed. The first involves polynomial approximations, the second is an interpolation technique which is useful when a limited number of autocorrelations is available.
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logcondens: Computations Related to Univariate Log-Concave Density Estimation
Journal of Statistical Software, 2011 Maximum likelihood estimation of a log-concave density has attracted considerable attention over the last few years. Several algorithms have been proposed to estimate such a density. Two of those algorithms, an iterative convex minorant and an active set
Lutz Dümbgen, Kaspar Rufibach
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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
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