Results 41 to 50 of about 5,912,392 (297)
Hierarchical Discrete Distribution Decomposition for Match Density Estimation [PDF]
Explicit representations of the global match distributions of pixel-wise correspondences between pairs of images are desirable for uncertainty estimation and downstream applications.
Zhichao Yin, Trevor Darrell, F. Yu
semanticscholar +1 more source
Accurate and precise density estimates are crucial for effective species management and conservation. However, efficient monitoring of mammal densities over large spatial and temporal scales is challenging.
Samantha S. Mason +5 more
doaj +1 more source
Robust kernel density estimation [PDF]
We propose a method for nonparametric density estimation that exhibits robustness to contamination of the training sample. This method achieves robustness by combining a traditional kernel density estimator (KDE) with ideas from classical $M$-estimation.
Kim, JooSeuk, Scott, Clayton D.
openaire +2 more sources
Computer vision is becoming an increasingly vital field, offering significant opportunities for real-world applications. Object counting is one of its core aspects, with increasing utilization across scientific fields involving objects of varying sizes ...
Phu Nguyen Phan Hai +2 more
doaj +1 more source
BNPmix: An R Package for Bayesian Nonparametric Modeling via Pitman-Yor Mixtures
BNPmix is an R package for Bayesian nonparametric multivariate density estimation, clustering, and regression, using Pitman-Yor mixture models, a flexible and robust generalization of the popular class of Dirichlet process mixture models.
Riccardo Corradin +2 more
doaj +1 more source
In this work, we propose a wavelet-based framework for estimating the derivatives of a density function in the setting of discrete, stationary, and ergodic processes.
Sultana Didi, Salim Bouzebda
doaj +1 more source
We consider the use of remote sensing for large-scale monitoring of agricultural land use, focusing on classification of tillage and vegetation cover for individual field parcels across large spatial areas.
Markku Luotamo +2 more
doaj +1 more source
Multiplicative Censoring: Estimation of a Density and its Derivatives under the Lp-Risk
We consider the problem of estimating a density and its derivatives for a sample of multiplicatively censored random variables. The purpose of this paper is to present an approach to this problem based on wavelets methods.
Mohammad Abbaszadeh +2 more
doaj +1 more source
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
A Comparative Genomics Approach to the Identification of QTL Candidate Genes
Despite rapid advances in sequencing technology, many commercially relevant species remain unsequenced, and many that are sequenced have very poorly annotated genomes.
Howsun Jow +2 more
doaj +1 more source

