Zobrazeno 1 - 10
of 3 586
pro vyhledávání: '"Pass, K"'
Publikováno v:
IEEE Access, Vol 6, Pp 72939-72951 (2018)
In recent years, feature tracking has become one of the most important research topics in computer vision. Many efforts have been made to design excellent feature matching methods. For large-scale structure from motion, however, existing feature trac
Externí odkaz:
https://doaj.org/article/aef75f2976c0423c8375d8fcc48b53ae
Akademický článek
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Publikováno v:
IEEE Access, Vol 6, Pp 72939-72951 (2018)
In recent years, feature tracking has become one of the most important research topics in computer vision. Many efforts have been made to design excellent feature matching methods. For large-scale structure from motion, however, existing feature trac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3b3de6fe06cad4b0ffdd082d52a8161
https://doi.org/10.1109/access.2018.2879337
https://doi.org/10.1109/access.2018.2879337
Autor:
Ludvik ROZMAN, Marjan KRAGL
Publikováno v:
Acta Agriculturae Slovenica, Vol 81, Iss 1 (2003)
Z namenom proučitve odpornosti nekaterih linij koruze (Zea mays L.) iz genske banke Oddelka za agronomijo Biotehniške fakultete v Ljubljani na koruzno progavost (Exserohilum turcicum / Pass./ K. J. Leonard et E. G. Suggs), smo na laboratorijskem po
Externí odkaz:
https://doaj.org/article/bfaca7ec5a984689bfb5f1d6d4c6b12e
Autor:
Tina MODIC, Ludvik ROZMAN
Publikováno v:
Acta Agriculturae Slovenica, Vol 79, Iss 1 (2002)
Namen naloge je bil proučiti odpornost nekaterih domačih in tujih genotipov iz genske banke koruze Oddelka za agronomijo Biotehniške fakultete v Ljubljani. Iz genske banke smo odbrali 119 populacij iz različnih slovenskih klimatskih območij in n
Externí odkaz:
https://doaj.org/article/082a4c173b9e426a8944c3545a31dac6
Akademický článek
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PERBANDINGAN KINERJA ALGORITMA SYSTEMATIC CLUSTERING DAN ONE PASS K-MEANS PADA MODEL KANONIMITY DATA
Autor:
REZA RIDWANSYAH, .
Penelitian ini bertujuan untuk membandingkan model K-Anonimity dengan algoritma Systematic Clustering dan One Pass K-Means. Model ini dapat mengatasi masalah privasi data pada data sensitif yang dipublikasikan dan berbentuk microdata. Metode peneliti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4603::f309d372991fd674db8e2442f0c70c24
Publikováno v:
Circuits, Systems, and Signal Processing. 33:309-320
Sparse representation has been widely used in machine learning, signal processing and communications. K-SVD, which generalizes k-means clustering, is one of the most famous algorithms for sparse representation and dictionary learning. K-SVD is an ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8701a890221fcdb243a77fbef371a31
https://doi.org/10.1007/s00034-013-9630-3
https://doi.org/10.1007/s00034-013-9630-3
Two-stage clustering using one-pass K-medoids and medoid-based agglomerative hierarchical algorithms
Autor:
Sadaaki Miyamoto, Yusuke Tamura
Publikováno v:
SCIS&ISIS
Clustering on weighted networks needs consideration of particular techniques. Medoid-based clustering seems promising in this sense. Although K-medoids have already been studied, agglomerative hierarchical clustering using medoids should also be stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a35711d80369d570dcbad8c617ee5f7
https://doi.org/10.1109/scis-isis.2014.7044641
https://doi.org/10.1109/scis-isis.2014.7044641
Autor:
Yusuke Tamura, Sadaaki Miyamoto
Publikováno v:
GrC
The aim of this paper is to propose a two-stage method of clustering in which the first stage uses one-pass k-median++ and the second stage uses an agglomerative hierarchical clustering. To handle medians in the second stage, we proposed two calculat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cdffb76b70dfb894d608c974e2a081f
https://doi.org/10.1109/grc.2014.6982850
https://doi.org/10.1109/grc.2014.6982850