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Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for
  Classifying Imagery and Motor Signals in ECoG-Based BCIs

Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs

22 November 2023
Soham Bafana
ArXiv (abs)PDFHTML

Papers citing "Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs"

3 / 3 papers shown
Title
The Computational Limits of Deep Learning
The Computational Limits of Deep Learning
Neil C. Thompson
Kristjan Greenewald
Keeheon Lee
Gabriel F. Manso
VLM
53
528
0
10 Jul 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
156
14,986
0
18 Jun 2020
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
178
9,460
0
09 Feb 2018
1