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pro vyhledávání: '"Duin, Robert P. W."'
Autor:
Plasencia-Calaña, Yenisel, Orozco-Alzate, Mauricio, Méndez-Vázquez, Heydi, García-Reyes, Edel, Duin, Robert P. W.
Classification in the dissimilarity space has become a very active research area since it provides a possibility to learn from data given in the form of pairwise non-metric dissimilarities, which otherwise would be difficult to cope with. The selecti
Externí odkaz:
http://arxiv.org/abs/1712.09277
Autor:
Duin, Robert P. W., Verzakov, Sergey
A significantly faster algorithm is presented for the original kNN mode seeking procedure. It has the advantages over the well-known mean shift algorithm that it is feasible in high-dimensional vector spaces and results in uniquely, well defined mode
Externí odkaz:
http://arxiv.org/abs/1712.07454
Autor:
Duin, Robert P. W., Pekalska, Elzbieta
We consider general non-Euclidean distance measures between real world objects that need to be classified. It is assumed that objects are represented by distances to other objects only. Conditions for zero-error dissimilarity based classifiers are de
Externí odkaz:
http://arxiv.org/abs/1601.04451
Autor:
Duin, Robert P. W., Pekalska, Elzbieta
The majority of traditional classification ru les minimizing the expected probability of error (0-1 loss) are inappropriate if the class probability distributions are ill-defined or impossible to estimate. We argue that in such cases class domains sh
Externí odkaz:
http://arxiv.org/abs/1601.04530
Textures often show multiscale properties and hence multiscale techniques are considered useful for texture analysis. Scale-space theory as a biologically motivated approach may be used to construct multiscale textures. In this paper various ways are
Externí odkaz:
http://arxiv.org/abs/1207.4089
In this study, we propose a computational diagnosis system for detecting the colorectal cancer from histopathological slices. The computational analysis was usually performed on patch level where only a small part of the slice is covered. However, sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1865::a6bac5bab341d3a6834259213b9aa922
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/90633
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/90633
Publikováno v:
Structural, Syntactic & Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings; 2016, p84-94, 11p
Publikováno v:
Structural, Syntactic & Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings; 2016, p74-83, 10p
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