Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Floriello, A"'
Autor:
Floriello, Davide, Vitelli, Valeria
We consider the problem of clustering functional data while jointly selecting the most relevant features for classification. This problem has never been tackled before in the functional data context, and it requires a proper definition of the concept
Externí odkaz:
http://arxiv.org/abs/1501.04755
Autor:
Floriello, Davide, Vitelli, Valeria
Publikováno v:
In Journal of Multivariate Analysis February 2017 154:1-18
Autor:
Valeria Vitelli, Davide Floriello
Publikováno v:
Journal of Multivariate Analysis. 154:1-18
We consider the problem of clustering functional data while jointly selecting the most relevant features for classification. This problem has never been tackled before in the functional data context, and it requires a proper definition of the concept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::750245064ad25b248c1a493da7e0d11d
https://doi.org/10.1016/j.jmva.2016.10.008
https://doi.org/10.1016/j.jmva.2016.10.008
Publikováno v:
IVCNZ
Finding correspondences between images representing branched or tree structures is a challenging task. Branched structures are often encountered in many disciplines: anatomy, medicine, agronomy and engineering are only few examples of such fields. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c6a98bf56b22b13a9df2e54d93a7b2
https://doi.org/10.1145/2683405.2683421
https://doi.org/10.1145/2683405.2683421
Publikováno v:
IVCNZ
Correspondence Problems in the case of branched structures are a challenging and interesting sub-case of general Correspondence Problems. Many usual assumptions do not hold in this framework. Therefore, we seek to define a probability measure for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd901abbec0beb92d0671e3b7403b8e9
https://doi.org/10.1109/ivcnz.2013.6727035
https://doi.org/10.1109/ivcnz.2013.6727035
Publikováno v:
ACM International Conference Proceeding Series; 11/19/2014, p60-65, 6p
Publikováno v:
2013 28th International Conference on Image & Vision Computing New Zealand (IVCNZ 2013); 2013, p311-316, 6p