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High--Dimensional Brain in a High-Dimensional World: Blessing of
  Dimensionality

High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality

14 January 2020
A. Gorban
V. A. Makarov
Ivan Y. Tyukin
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Papers citing "High--Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality"

17 / 17 papers shown
Title
A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
Bryce Allen Bagley
Claudia K Petritsch
93
0
0
28 Jan 2025
Blessing of dimensionality at the edge
Blessing of dimensionality at the edge
I. Tyukin
Alexander N. Gorban
A. McEwan
Sepehr Meshkinfamfard
Lixin Tang
37
8
0
30 Sep 2019
Symphony of high-dimensional brain
Symphony of high-dimensional brain
Alexander N. Gorban
V. Makarov
I. Tyukin
23
3
0
27 Jun 2019
Estimating the effective dimension of large biological datasets using
  Fisher separability analysis
Estimating the effective dimension of large biological datasets using Fisher separability analysis
L. Albergante
Jonathan Bac
A. Zinovyev
70
39
0
18 Jan 2019
Correction of AI systems by linear discriminants: Probabilistic
  foundations
Correction of AI systems by linear discriminants: Probabilistic foundations
A. N. Gorban
A. Golubkov
Bogdan Grechuk
E. M. Mirkes
I. Tyukin
25
63
0
11 Nov 2018
Fast Construction of Correcting Ensembles for Legacy Artificial
  Intelligence Systems: Algorithms and a Case Study
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study
I. Tyukin
Alexander N. Gorban
Stephen Green
Danil Prokhorov
34
15
0
12 Oct 2018
The unreasonable effectiveness of small neural ensembles in
  high-dimensional brain
The unreasonable effectiveness of small neural ensembles in high-dimensional brain
A. N. Gorban
V. Makarov
I. Tyukin
31
52
0
20 Sep 2018
Blessing of dimensionality: mathematical foundations of the statistical
  physics of data
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban
I. Tyukin
62
149
0
10 Jan 2018
Knowledge Transfer Between Artificial Intelligence Systems
Knowledge Transfer Between Artificial Intelligence Systems
I. Tyukin
A. Gorban
Konstantin I. Sofeikov
I. Romanenko
30
31
0
05 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale
  Optimizations. Part 2 Applications and Future Perspectives
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives
A. Cichocki
Anh-Huy Phan
Qibin Zhao
Namgil Lee
Ivan Oseledets
Masashi Sugiyama
Danilo P. Mandic
59
299
0
30 Aug 2017
Stochastic Separation Theorems
Stochastic Separation Theorems
A. N. Gorban
I. Tyukin
53
50
0
03 Mar 2017
Embracing the Blessing of Dimensionality in Factor Models
Embracing the Blessing of Dimensionality in Factor Models
Quefeng Li
Guang Cheng
Jianqing Fan
Yuyan Wang
43
35
0
25 Oct 2016
One-Trial Correction of Legacy AI Systems and Stochastic Separation
  Theorems
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
Alexander N. Gorban
I. Romanenko
Richard Burton
I. Tyukin
54
29
0
03 Oct 2016
The More, the Merrier: the Blessing of Dimensionality for Learning Large
  Gaussian Mixtures
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures
Joseph Anderson
M. Belkin
Navin Goyal
Luis Rademacher
James R. Voss
123
93
0
12 Nov 2013
Is the k-NN classifier in high dimensions affected by the curse of
  dimensionality?
Is the k-NN classifier in high dimensions affected by the curse of dimensionality?
V. Pestov
137
113
0
19 Oct 2011
Principal manifolds and graphs in practice: from molecular biology to
  dynamical systems
Principal manifolds and graphs in practice: from molecular biology to dynamical systems
A. N. Gorban
A. Zinovyev
105
140
0
07 Jan 2010
Observed Universality of Phase Transitions in High-Dimensional Geometry,
  with Implications for Modern Data Analysis and Signal Processing
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing
D. Donoho
Jared Tanner
85
464
0
14 Jun 2009
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