Results 31 to 40 of about 44,491 (259)

Indexing the Earth Mover's Distance Using Normal Distributions [PDF]

open access: yes, 2011
Querying uncertain data sets (represented as probability distributions) presents many challenges due to the large amount of data involved and the difficulties comparing uncertainty between distributions.
Ruttenberg, Brian E., Singh, Ambuj K.
core   +3 more sources

Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction

open access: yesConference on Empirical Methods in Natural Language Processing, 2017
Cross-lingual natural language processing hinges on the premise that there exists invariance across languages. At the word level, researchers have identified such invariance in the word embedding semantic spaces of different languages.
Meng Zhang   +3 more
semanticscholar   +1 more source

The Earth Mover’s Distance as a Metric for the Space of Inorganic Compositions

open access: yesChemistry of Materials, 2020
It is a core problem in any field to reliably tell how close two objects are to being the same, and once this relation has been established we can use this information to precisely quantify potential relationships, both analytically and with machine ...
Cameron J. Hargreaves   +4 more
semanticscholar   +1 more source

Strong measurement method of evidence conflict based on earth mover’s distance

open access: yesTongxin xuebao, 2022
Aiming at the problem that the conflict factor k in D-S evidence theory cannot effectively measure the degree of conflict between two bodies of evidence (BoEs), the expected features of evidence conflict strong measurement function (ECSMF) were proposed,
Xin WANG, Wei FU
doaj   +2 more sources

Detecting image differences based on reference EMD-filters [PDF]

open access: yesКомпьютерная оптика, 2018
In our previous works dealing with detecting differences in images in the case of substantial variations in brightness and geometry of an object, we proposed a morphological scheme for image analysis based on diffusion and reference mosaic filters.
Maxim Lebedev   +3 more
doaj   +1 more source

Visual Tracking Using Sparse Coding and Earth Mover's Distance

open access: yesFrontiers in Robotics and AI, 2018
An efficient iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to search for the optimal template candidates in feature-spatial space in a ...
Gang Yao, Ashwin Dani
doaj   +1 more source

A generative modeling approach for benchmarking and training shallow quantum circuits [PDF]

open access: yes, 2019
Hybrid quantum-classical algorithms provide ways to use noisy intermediate-scale quantum computers for practical applications. Expanding the portfolio of such techniques, we propose a quantum circuit learning algorithm that can be used to assist the ...
Benedetti, Marcello   +5 more
core   +2 more sources

Average Sensitivity of Graph Algorithms

open access: yes, 2020
In modern applications of graphs algorithms, where the graphs of interest are large and dynamic, it is unrealistic to assume that an input representation contains the full information of a graph being studied.
Varma, Nithin, Yoshida, Yuichi
core   +1 more source

MORE: Merged Opinions Reputation Model [PDF]

open access: yes, 2015
Reputation is generally defined as the opinion of a group on an aspect of a thing. This paper presents a reputation model that follows a probabilistic modelling of opinions based on three main concepts: (1) the value of an opinion decays with time, (2 ...
Osman, Nardine   +3 more
core   +2 more sources

HUMANNET—A Two-Tiered Deep Neural Network Architecture for Self-Occluding Humanoid Pose Reconstruction

open access: yesSensors, 2021
Majority of current research focuses on a single static object reconstruction from a given pointcloud. However, the existing approaches are not applicable to real world applications such as dynamic and morphing scene reconstruction.
Audrius Kulikajevas   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy