Results 81 to 90 of about 23,924 (195)

Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley   +1 more source

Field‐based evidence of impaired sperm quality associated with conventional farming in two passerine birds

Ibis, EarlyView.
The detrimental effects of conventional farming on bird biodiversity are increasingly documented. Despite this, the specific impacts of both organic and conventional farming practices on bird coloration and sperm quality in natural settings remain unexplored. This study aimed to determine whether these farming practices differentially affect body mass,
Ségolène Humann‐Guilleminot, Audrey Bailly, Karine Monceau, Mélissa Desbonnes, Vincent Bretagnolle, Jérôme Moreau   +5 more
wiley   +1 more source

Mapper Comparison with Wasserstein Metrics

, 2018
The challenge of describing model drift is an open question in unsupervised learning. It can be difficult to evaluate at what point an unsupervised model has deviated beyond what would be expected from a different sample from the same population. This is particularly true for models without a probabilistic interpretation. One such family of techniques,
openaire   +2 more sources

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source

No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning

Remote Sensing
In hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems ...
Yuyan Li, Yubo Dong, Haoyong Li, Danhua Liu, Fang Xue, Dahua Gao   +5 more
doaj   +1 more source

A Comparative Review of Specification Tests for Diffusion Models

International Statistical Review, EarlyView.
Summary Diffusion models play an essential role in modelling continuous‐time stochastic processes in the financial field. Therefore, several proposals have been developed in the last decades to test the specification of stochastic differential equations.
A. López‐Pérez, D. Diz‐Castro, M. Febrero‐Bande, W. González‐Manteiga   +3 more
wiley   +1 more source

Metric extrapolation in the Wasserstein space

Calculus of Variations and Partial Differential Equations
In this article we study a variational problem providing a way to extend for all times minimizing geodesics connecting two given probability measures, in the Wasserstein space. This is simply obtained by allowing for negative coefficients in the classical variational characterization of Wasserstein barycenters.
Gallouët, Thomas, Natale, Andrea, Todeschi, Gabriele   +2 more
openaire   +4 more sources

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

The Wasserstein Metric between a Discrete Probability Measure and a Continuous One

Mathematics
This paper examines the Wasserstein metric between the empirical probability measure of n discrete random variables and a continuous uniform measure in the d-dimensional ball, providing an asymptotic estimation of their expectations as n approaches ...
Weihua Yang, Xu Zhang, Xia Wang
doaj   +1 more source

Surgical tagging of Atlantic mackerel (Scomber scombrus): electroanaesthesia and survival in captivity and the field

Journal of Fish Biology, EarlyView.
Abstract Electroanaesthesia using electric fish handling gloves induced rapid and reversible sedation of Atlantic mackerel (Scomber scombrus) during surgical tagging without observable adverse effects on behaviour or tag retention. In the laboratory, survival analyses revealed that longer handling times and smaller body sizes significantly reduced ...
Caliyena R. Brown, Morgan L. Piczak, Elisabeth Van Beveren, John Batt, Robert J. Lennox   +4 more
wiley   +1 more source