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General stochastic separation theorems with optimal bounds
v1v2 (latest)

General stochastic separation theorems with optimal bounds

Neural Networks (NN), 2020
11 October 2020
Bogdan Grechuk
A. Gorban
I. Tyukin
ArXiv (abs)PDFHTML

Papers citing "General stochastic separation theorems with optimal bounds"

9 / 9 papers shown
Error correction in multiclass image classification of facial emotion on unbalanced samples
Error correction in multiclass image classification of facial emotion on unbalanced samples
Andrey A. Lebedev
Victor B. Kazantsev
Sergey V. Stasenko
CVBM
166
0
0
02 Oct 2025
Rolling the dice for better deep learning performance: A study of
  randomness techniques in deep neural networks
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
Mohammed Ghaith Altarabichi
Sławomir Nowaczyk
Sepideh Pashami
Peyman Sheikholharam Mashhadi
Julia Handl
162
24
0
05 Apr 2024
Agile gesture recognition for low-power applications: customisation for
  generalisation
Agile gesture recognition for low-power applications: customisation for generalisation
Ying Liu
Liucheng Guo
V. Makarov
Alexander Gorbana
Evgeny Mirkesa
Ivan Y. Tyukin
131
0
0
12 Mar 2024
Agile gesture recognition for capacitive sensing devices: adapting
  on-the-job
Agile gesture recognition for capacitive sensing devices: adapting on-the-jobIEEE International Joint Conference on Neural Network (IJCNN), 2023
Ying Liu
Liucheng Guo
V. Makarov
Yuxiang Huang
Alexander N. Gorban
Evgeny Mirkes
Ivan Y. Tyukin
134
3
0
12 May 2023
Scikit-dimension: a Python package for intrinsic dimension estimation
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac
Evgeny M. Mirkes
Alexander N. Gorban
I. Tyukin
A. Zinovyev
208
111
0
06 Sep 2021
High-dimensional separability for one- and few-shot learning
High-dimensional separability for one- and few-shot learningEntropy (Entropy), 2021
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
229
25
0
28 Jun 2021
Demystification of Few-shot and One-shot Learning
Demystification of Few-shot and One-shot LearningIEEE International Joint Conference on Neural Network (IJCNN), 2021
I. Tyukin
A. Gorban
Muhammad H. Alkhudaydi
Qinghua Zhou
138
18
0
25 Apr 2021
Linear and Fisher Separability of Random Points in the d-dimensional
  Spherical Layer
Linear and Fisher Separability of Random Points in the d-dimensional Spherical LayerIEEE International Joint Conference on Neural Network (IJCNN), 2020
Sergey V. Sidorov
N. Zolotykh
201
3
0
01 Feb 2020
Blessing of dimensionality at the edge
Blessing of dimensionality at the edgeInformation Sciences (Inf. Sci.), 2019
I. Tyukin
Alexander N. Gorban
A. McEwan
Sepehr Meshkinfamfard
Lixin Tang
138
8
0
30 Sep 2019
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