Results 11 to 20 of about 3,919,259 (312)

Real-Time Algorithms for the Detection of Changes in the Variance of Video Content Popularity

open access: yesIEEE Access, 2020
As video content is responsible for more than 70% of the global IP traffic, related resource allocation approaches, e.g., using content caching, become increasingly important.
Sotiris Skaperas   +2 more
doaj   +1 more source

Graph-Based Change-Point Detection [PDF]

open access: yes, 2014
We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representing the similarity between observations, is proposed ...
Chen, Hao, Zhang, Nancy
core   +3 more sources

SiUNet3+-CD: a full-scale connected Siamese network for change detection of VHR images

open access: yesEuropean Journal of Remote Sensing, 2022
Change detection is a core issue in the study of global change. Inspired by recent success of the UNet3+ architecture originally designed for image semantic segmentation, in this article we proposed a densely connected siamese network for change ...
Bo Zhao   +4 more
doaj   +1 more source

Detecting Unidentified Changes

open access: yesPLoS ONE, 2014
Does becoming aware of a change to a purely visual stimulus necessarily cause the observer to be able to identify or localise the change or can change detection occur in the absence of identification or localisation? Several theories of visual awareness stress that we are aware of more than just the few objects to which we attend.
Howe, PDL, Webb, ME
openaire   +5 more sources

Change detection analysis of Cropland using Geospatial technique -A case Study of Narsinghpur District [PDF]

open access: yes, 2017
Access to accurate and up-to-date information on the extent and distribution of individual crop types, associated with land use changes and practices, has significant value in intensively agricultural regions.
K, A. M. (Awasthi)   +3 more
core   +1 more source

Detecting Idiographic Personality Change

open access: yesJournal of Personality Assessment, 2021
Personality changes across the lifespan, but strong evidence regarding the mechanisms of personality change remains elusive. Studies of personality change and life events, for example, suggest that personality is difficult to change. But there are two key issues with assessing personality change. First, most change models optimize population-level, not
Beck, Emorie D, Jackson, Joshua J
openaire   +5 more sources

Fréchet change-point detection [PDF]

open access: yesThe Annals of Statistics, 2020
We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data sequence changes abruptly in terms of either its Fr chet mean or Fr chet variance or both. The proposed
Dubey, Paromita, Müller, Hans-Georg
openaire   +4 more sources

Estimating the influence of accounting variables change on earnings management detection

open access: yesJournal of International Studies, 2017
Standard earnings management detection is performed using two routes: real earnings management (connected with inventory and expenses manipulations) and accrual earnings management (connected with revenue and accounts receivables manipulations).
Igor Pustylnick   +2 more
doaj   +1 more source

Change Detection via Affine and Quadratic Detectors [PDF]

open access: yes, 2018
The goal of the paper is to develop a specific application of the convex optimization based hypothesis testing techniques developed in A. Juditsky, A. Nemirovski, "Hypothesis testing via affine detectors," Electronic Journal of Statistics 10:2204--2242 ...
Cao, Yang   +4 more
core   +5 more sources

Land Cover and Landscape Structural Changes Using Extreme Gradient Boosting Random Forest and Fragmentation Analysis

open access: yesRemote Sensing, 2023
Land use and land cover change constitute a significant driver of land degradation worldwide, and machine-learning algorithms are providing new opportunities for effectively classifying land use and land cover changes over time.
Charles Matyukira, Paidamwoyo Mhangara
doaj   +1 more source

Home - About - Disclaimer - Privacy