Results 51 to 60 of about 2,954,755 (181)
Semi-Supervised Hyperspectral Image Classification via Spatial-Regulated Self-Training
Remote Sensing, 2020 Because there are many unlabeled samples in hyperspectral images and the cost of manual labeling is high, this paper adopts semi-supervised learning method to make full use of many unlabeled samples.
Yue Wu +5 more
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Classification of teleparallel Horndeski cosmology via Noether symmetries
European Physical Journal C: Particles and Fields, 2022 Teleparallel Horndeski theory offers an avenue through which to circumvent the speed constraint of gravitational waves in an efficient manner. However, this provides an even larger plethora of models due to the increase in action terms.
Konstantinos F. Dialektopoulos +2 more
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Classification via Two-Way Comparisons
ACM Transactions on AlgorithmsGiven a weighted, ordered query set \(Q\) and a partition of \(Q\) into classes, we study the problem of computing a minimum-cost decision tree that, given any query \(q\in Q\) , uses ...
Marek Chrobak, Neal E. Young
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Fine-Grained Classification via Categorical Memory Networks
IEEE Transactions on Image Processing, 2022 10 pages, 9 figures, 7 tables; this version is not fully edited and will be updated ...
Weijian Deng +3 more
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ACCELERATED FRACTAL ENCODING VIA DOMAIN CLASSIFICATION
Science Journal of University of ZakhoThe story of fractal image compression is that the image to be compressed is partitioned into many blocks (range pool). Domain pool is created from range pool. Then, each range block is compared with all domain blocks, searching for the best match. This
Ziyad T. Najim
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Olive Oils Classification via Laser-Induced Breakdown Spectroscopy
Applied Sciences, 2020 The classification of olive oils and the authentication of their geographic origin are important issues for public health and for the olive oil market and related industry.
Nikolaos Gyftokostas +2 more
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Hyperspectral Image Classification via Information Theoretic Dimension Reduction
Remote Sensing, 2023 Hyperspectral images (HSIs) are one of the most successfully used tools for precisely and potentially detecting key ground surfaces, vegetation, and minerals.
Md Rashedul Islam +4 more
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Hyperspectral Image Classification via Matching Absorption Features
IEEE Access, 2019 In this paper, we propose to extract spectral absorptions as the discriminative features to classify hyperspectral imagery. Different from previous researches that mainly take hyperspectral curves as high-dimensional inputs, we analyze hyperspectral data
Baofeng Guo
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Classification of Quantum Groups via Galois Cohomology [PDF]
Communications in Mathematical Physics, 2019 The first example of a quantum group was introduced by P.~Kulish and N.~Reshetikhin. In their paper "Quantum linear problem for the sine-Gordon equation and higher representations" published in Zap. Nauchn. Sem. LOMI, 1981, Volume 101 (English version: Journal of Soviet Mathematics, 1983, 23:4), they found a new algebra which was later called $U_q (sl ...
Eugene Karolinsky +2 more
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, 2012 We construct coefficient matrices of size 2^l by 2^{n-l} associated with pure n-qubit states and prove the invariance of the ranks of the coefficient matrices under stochastic local operations and classical communication (SLOCC). The ranks give rise to a
D. Li +5 more
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