Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mikhail Lange"'
Publikováno v:
Computational Mathematics and Mathematical Physics. 61:1181-1193
A data classification model in which the average mutual information between source objects and made decisions is a function of the error probability is investigated. Optimization of the model consists in finding a tradeoff “mutual information–err
Autor:
Mikhail Lange, Semion Paramonov
Publikováno v:
2021 International Conference on Information Technology and Nanotechnology (ITNT).
Publikováno v:
2020 International Conference on Information Technology and Nanotechnology (ITNT).
We propose a data classification model which yields an average mutual information between a set of objects and a set of class-label decisions as a function of error probability. Optimization of the model consists in minimization of the average mutual
Autor:
Andrey Lange, Mikhail Lange
Publikováno v:
Procedia Engineering. 201:302-311
An algorithm for hierarchical searching an approximate nearest image in a given dataset relative to a submitted image is suggested. The algorithm is supposed to high dimension data and the decision is made in a space of the multiresolution pyramid-ba
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030353995
IDP
IDP
An accuracy of multiclass classifying the collections of objects taken from a given ensemble of data sources is investigated using the average mutual information between the datasets of the sources and a set of the classes. We consider two fusion sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c21846d09981de48a6d7fe748a141890
https://doi.org/10.1007/978-3-030-35400-8_3
https://doi.org/10.1007/978-3-030-35400-8_3
Publikováno v:
Multiple Classifier Systems ISBN: 9783642023255
MCS
MCS
We consider the problem of multi-modal pattern recognition under the assumption that a kernel-based approach is applicable within each particular modality. The Cartesian product of the linear spaces into which the respective kernels embed the output
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d144c3eac056ac1b1af904926bb305
Publikováno v:
ICPR
The problem of signature verification is considered within the bounds of the kernel-based methodology of pattern recognition, more specifically, SVM principle of machine learning. A kernel in the set of signatures can be defined in different ways and
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783540728467
IbPRIA (1)
IbPRIA (1)
A moment-based approach is developed to constructing tree-structured descriptions of patterns given by region-based shapes with grayscale attributes. The proposed representation is approximately invariant with respect to the pattern rotation, transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e635001e680e96e0214b7ae800a916
https://doi.org/10.1007/978-3-540-72847-4_67
https://doi.org/10.1007/978-3-540-72847-4_67