Results 41 to 50 of about 46,105 (114)

Fruit Distribution Density Estimation in YOLO-Detected Strawberry Images: A Kernel Density and Nearest Neighbor Analysis Approach

Agriculture
Precise information on strawberry fruit distribution is of significant importance for optimizing planting density and formulating harvesting strategies.
Lili Jiang, Yunfei Wang, Chong Wu, Haibin Wu   +3 more
doaj   +1 more source

Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data [PDF]

Journal of Sciences, Islamic Republic of Iran, 2014
Kernel density estimators are the basic tools for density estimation in non-parametric statistics.  The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the ...
V. Fakoor
doaj  

Kernel Density Estimators for Gaussian Mixture Models

Lithuanian Journal of Statistics, 2013
The problem of nonparametric estimation of probability density function is considered. The performance of kernel estimators based on various common kernels and a new kernel K (see (14)) with both fixed and adaptive smoothing bandwidth is compared in ...
Tomas Ruzgas, Indrė Drulytė
doaj   +1 more source

Weakly supervised segment annotation via expectation kernel density estimation

IET Computer Vision, 2019
Since the labelling for the positive images/videos is ambiguous in weakly supervised segment annotation, negative mining‐based methods that only use the intra‐class information emerge. In these methods, negative instances are utilised to penalise unknown
Liantao Wang, Qingwu Li, Jianfeng Lu
doaj   +1 more source

Forest Fire Risk Mapping by Kernel Density Estimation

Croatian Journal of Forest Engineering, 2011
When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as ...
Semih Kuter, Firdes Yenilmez, Nazan Kuter   +2 more
doaj  

Comparative Evaluation of Nonparametric Density Estimators for Gaussian Mixture Models with Clustering Support

Axioms
The article investigates the accuracy of nonparametric univariate density estimation methods applied to various Gaussian mixture models. A comprehensive comparative analysis is performed for four popular estimation approaches: adaptive kernel density ...
Tomas Ruzgas, Gintaras Stankevičius, Birutė Narijauskaitė, Jurgita Arnastauskaitė Zencevičienė   +3 more
doaj   +1 more source

Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age

Genome Biology
Epigenetic aging signatures provide insights into human aging, but traditional clocks rely on linear regression of DNA methylation levels, assuming linear trajectories.
Juan-Felipe Perez-Correa, Thomas Stiehl, Riccardo E. Marioni, Janie Corley, Simon R. Cox, Ivan G. Costa, Wolfgang Wagner   +6 more
doaj   +1 more source

Ultrasound Entropy Imaging Based on the Kernel Density Estimation: A New Approach to Hepatic Steatosis Characterization. [PDF]

Diagnostics (Basel), 2023
Gao R, Tsui PH, Wu S, Tai DI, Bin G, Zhou Z.   +5 more
europepmc   +1 more source

Enhancing Broiler Weight Prediction via Preprocessed Kernel Density Estimation

Agriculture
Accurate broiler weight estimation in commercial farms is hindered by noisy scale data and multi-broiler occupancy. To address this challenge, we propose a KDE-based framework enhanced with systematic preprocessing, including coefficient of variation (CV)
Sangmin Yoo, Yumi Oh, Juwhan Song
doaj   +1 more source

Support vector data description with kernel density estimation (SVDD-KDE) control chart for network intrusion monitoring. [PDF]

Sci Rep, 2023
Ahsan M, Khusna H, Wibawati, Lee MH.
europepmc   +1 more source