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Published in 2022 at "Networks"
DOI: 10.1002/net.22090
Abstract: Let Dn×n denote the distance matrix of n objects, and let T be an unrooted binary tree in which the leaves denote those n objects. We want to find such a tree with the constraint…
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Keywords:
unrooted binary;
labeled unrooted;
semi labeled;
binary tree ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1218-y
Abstract: Support Vector Machine (SVM) is mainly used to classify the data into two categories. To solve the multi-category problems using SVM, researchers used two approaches. The first approach based on solving multiple SVM binary classifiers,…
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Keywords:
binary tree;
skewed binary;
vector machine;
support vector ... See more keywords
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Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0622-z
Abstract: To effectively avoid internal rule explosion of a fuzzy system or computer memory overflow caused by increased input variables, a hybrid fuzzy system is established by unifying the Takagi–Sugeno and the Mamdani fuzzy systems based…
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Keywords:
system;
fuzzy system;
number;
hybrid fuzzy ... See more keywords
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Published in 2021 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2021.1980883
Abstract: Object-based convolutional neural networks (OCNNs) have achieved great performance in the field of land-cover and land-use classification. Studies have suggested that the generation of object convo...
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Keywords:
bts binary;
object identification;
strategy object;
binary tree ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2993134
Abstract: Aiming at the complex computation and time-consuming problem during unordered image stitching, we present a method based on the binary tree and the estimated overlapping areas to stitch images without order in this paper. For…
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Keywords:
binary tree;
estimated overlapping;
image stitching;
image ... See more keywords