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Discriminative Scale Space Tracking [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Accurate scale estimation of a target is a challenging research problem in visual object tracking. Most state-of-the-art methods employ an exhaustive scale search to estimate the target size. The exhaustive search strategy is computationally expensive and struggles when encountered with large scale variations.
Danelljan, Martin   +3 more
openaire   +6 more sources

Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS

open access: yesEngineering Biology, 2022
This article presents a discussion of the process of precision fermentation (PF), describing the history of the space, the expected 70% growth over the next 5 years, various applications of precision fermented products, and the markets available to be ...
Evgenia A. Markova   +2 more
doaj   +1 more source

Scales in Space [PDF]

open access: yesIntegrated Assessment, 2002
Economists have devoted more attention to the scale of time than to the scale of space. What has been done in the field of space is often general and abstract, not connected to an explicit observation set in time and space. Moreover, time scales and spatial scales are not tied, making the choice for a macro, meso or microeconomic theory a rather ...
Anne van der Veen, Henriëtte Otter
openaire   +2 more sources

The Active Segmentation Platform for Microscopic Image Classification and Segmentation

open access: yesBrain Sciences, 2021
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
doaj   +1 more source

Scale Space Hierarchy [PDF]

open access: yesJournal of Mathematical Imaging and Vision, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kuijper, Arjan   +2 more
openaire   +5 more sources

Attribution in Scale and Space [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CVPR 2020 camera-ready.
Mukund Sundararajan   +2 more
openaire   +3 more sources

Increasing Difference of China Summer Precipitation Statistics Between Percentage Anomaly and Probability Distribution Methods Due to Tropical Warming

open access: yesEarth and Space Science, 2021
Precipitation anomaly grades are usually defined by the percentage anomaly (Pa) or probability distribution (Pd) methods. However, the difference between the two may lead to different estimates for the same events, creating difficulty in judging the ...
Yayu Ma   +3 more
doaj   +1 more source

Application of Improved KAZE Algorithm in Image Feature Extraction and Matching

open access: yesIEEE Access, 2023
Intelligent navigation and recognition technology have continuously improved the field of image matching, so how to achieve more efficient and accurate feature matching is the key to image processing.
Peipei Zhang, Xin'e Yan
doaj   +1 more source

Quantisation Scale-Spaces [PDF]

open access: yes, 2021
To appear in A. Elmoataz, J. Fadili, Y. Queau, J. Rabin, L. Simon (Eds.): Scale Space and Variational Methods in Computer Vision.
openaire   +3 more sources

Occurrence frequency of subcritical Richardson numbers assessed by global high-resolution radiosonde and ERA5 reanalysis [PDF]

open access: yesAtmospheric Chemistry and Physics, 2023
Kelvin–Helmholtz instability (KHI) is most likely to be the primary source for clear-air turbulence, which is of importance in pollution transfer and diffusion and aircraft safety. It is indicated by the critical value of the dimensionless Richardson (Ri)
J. Shao   +6 more
doaj   +1 more source

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