Results 101 to 110 of about 32,144 (182)

Rapid postfire color shift in a Mediterranean lizard

Journal of Zoology, EarlyView.
We quantified dorsal luminosity and color composition of Psammodromus algirus in burned and adjacent unburned habitats at different times since fire. Lizards inhabiting recently burned areas displayed lighter dorsal coloration, particularly during the early stages of postfire succession, with the effect being more pronounced in larger individuals ...
L. Álvarez‐Ruiz, J. Belliure, J. G. Pausas   +2 more
wiley   +1 more source

Differentially Private Sliced Wasserstein Distance

, 2021
Developing machine learning methods that are privacy preserving is today a central topic of research, with huge practical impacts. Among the numerous ways to address privacy-preserving learning, we here take the perspective of computing the divergences between distributions under the Differential Privacy (DP) framework -- being able to compute ...
Rakotomamonjy, Alain, Ralaivola, Liva
openaire   +3 more sources

Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons

Sensors, 2017
We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multiple ...
F. Serhan Daniş, Ali Taylan Cemgil
doaj   +1 more source

S2‐PepAnalyst: A Web Tool for Predicting Plant Small Signalling Peptides

Plant Biotechnology Journal, EarlyView.
ABSTRACT Small signalling peptides (SSPs) serve as crucial mediators of cell‐to‐cell communication in plants, orchestrating diverse physiological processes from development to stress responses. While recent advances in sequencing technologies have improved genome annotation, the identification of novel SSPs remains challenging due to their small size ...
Kelly L. Vomo‐Donfack, Mariem Abaach, Ana M. Luna, Grégory Ginot, Verónica G. Doblas, Ian Morilla   +5 more
wiley   +1 more source

Wasserstein Distance Maximizing Intrinsic Control

, 2021
This paper deals with the problem of learning a skill-conditioned policy that acts meaningfully in the absence of a reward signal. Mutual information based objectives have shown some success in learning skills that reach a diverse set of states in this setting.
Durugkar, Ishan, Hansen, Steven, Spencer, Stephen, Mnih, Volodymyr   +3 more
openaire   +2 more sources

An alternating multiple residual Wasserstein regularization model for Gaussian image denoising

Scientific Reports
Residual histograms can provide meaningful statistical information in low-level visual research. However, the existing image denoising methods do not deeply explore the potential of alternate multiple residual histograms for overall optimization ...
Ruiqiang He, Wangsen Lan, Yaojun Hao, Jianfang Cao, Fang Liu   +4 more
doaj   +1 more source

A Comparison between Wasserstein Distance and a Distance Induced by Fisher-Rao Metric in Complex Shapes Clustering

Proceedings, 2017
Shape Analysis studies geometrical objects, as for example a flat fish in the plane or a human head in the space. The applications range from structural biology, computer vision, medical imaging to archaeology. We focus on the selection of an appropriate
Angela De Sanctis, Stefano A. Gattone
doaj   +1 more source

Spatial depth for data in metric spaces

Scandinavian Journal of Statistics, EarlyView.
Abstract We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located near (far away from) the bulk of the data distribution, allowing quantifying their centrality/outlyingness.
Joni Virta
wiley   +1 more source

Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

, 2018
Bayesian inference typically requires the computation of an approximation to the posterior distribution. An important requirement for an approximate Bayesian inference algorithm is to output high-accuracy posterior mean and uncertainty estimates ...
Broderick, Tamara, Campbell, Trevor, Huggins, Jonathan H., Kasprzak, Mikołaj   +3 more
core  

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source