Results 31 to 40 of about 2,441,680 (241)
Dense Depth Posterior (DDP) From Single Image and Sparse Range [PDF]
Computer Vision and Pattern Recognition, 2019 We present a deep learning system to infer the posterior distribution of a dense depth map associated with an image, by exploiting sparse range measurements, for instance from a lidar.
Yanchao Yang, A. Wong, Stefano Soatto
semanticscholar +1 more source
Nonlinear Detection for a High Rate Extended Binary Phase Shift Keying System
Sensors, 2013 The algorithm and the results of a nonlinear detector using a machine learning technique called support vector machine (SVM) on an efficient modulation system with high data rate and low energy consumption is presented in this paper.
Le-Nan Wu, Xian-Qing Chen
doaj +1 more source
BiomoleculesAlcohol dehydrogenases (ADHs) are critical enzymes involved in the oxidation of alcohols, contributing to various metabolic pathways across organisms.
Suhyun Park +3 more
doaj +1 more source
Statistical parametric mapping of biomechanical one-dimensional data with Bayesian inference
International Biomechanics, 2019 Recent developments in Statistical Parametric Mapping (SPM) for continuum data (e.g. kinematic time series) have been adopted by the biomechanics research community with great interest. The Python/MATLAB package spm1d developed by T.
Ben Serrien +2 more
doaj +1 more source
Wireless Body Area Network (WBAN)-Based Telemedicine for Emergency Care
Sensors, 2020 This paper is a collection of telemedicine techniques used by wireless body area networks (WBANs) for emergency conditions. Furthermore, Bayes’ theorem is proposed for predicting emergency conditions.
Latha R, Vetrivelan P
doaj +1 more source
Classifier conditional posterior probabilities [PDF]
, 1998 Classifiers based on probability density estimates can be used to find posterior probabilities for the objects to be classified. These probabilities can be used for rejection or for combining classifiers. Posterior probabilities for other classifiers, however, have to be conditional for the classifier., i.e.
Robert P. W. Duin, David M. J. Tax
openaire +1 more source
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 SIGIR 2022 (short)
Wei, Penghui +6 more
openaire +2 more sources
Automated CNN-Based Tooth Segmentation in Cone-Beam CT for Dental Implant Planning
IEEE Access, 2020 Accurate tooth segmentation is an essential step for reconstructing the three-dimensional tooth models used in various clinical applications. In this paper, we propose a convolutional neural network (CNN) based method for fully-automatic tooth ...
S. Lee +5 more
doaj +1 more source
Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications
AxiomsIn many real-life scenarios, one variable is observed only if the other concomitant variable or the set of concomitant variables (in the multivariate scenario) is truncated from below, above, or from a two-sided approach.
Indranil Ghosh +3 more
doaj +1 more source
Posterior Probability Intervals for Wavelet Thresholding
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2002 SummaryWe use cumulants to derive Bayesian credible intervals for wavelet regression estimates. The first four cumulants of the posterior distribution of the estimates are expressed in terms of the observed data and integer powers of the mother wavelet functions.
Barber, S, Nason, GP, Silverman, BW
openaire +3 more sources