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Supervised Dimensionality Reduction and Visualization using
  Centroid-encoder

Supervised Dimensionality Reduction and Visualization using Centroid-encoder

27 February 2020
T. Ghosh
Michael Kirby
ArXivPDFHTML

Papers citing "Supervised Dimensionality Reduction and Visualization using Centroid-encoder"

8 / 8 papers shown
Title
Random Forest Autoencoders for Guided Representation Learning
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon
Shuang Ni
Myriam Lizotte
Guy Wolf
Kevin R. Moon
Jake S. Rhodes
67
0
0
18 Feb 2025
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection
T. Ghosh
Michael Kirby
Karim Karimov
17
0
0
07 Jun 2023
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder
T. Ghosh
Michael Kirby
39
0
0
07 Jun 2023
Yet Another Algorithm for Supervised Principal Component Analysis:
  Supervised Linear Centroid-Encoder
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder
T. Ghosh
Michael Kirby
20
0
0
07 Jun 2023
Towards a better labeling process for network security datasets
Towards a better labeling process for network security datasets
Sebastian Garcia
Veronica Valeros
17
2
0
02 May 2023
A Brief Survey on Representation Learning based Graph Dimensionality
  Reduction Techniques
A Brief Survey on Representation Learning based Graph Dimensionality Reduction Techniques
A. Akella
13
0
0
13 Oct 2022
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection
T. Ghosh
Michael Kirby
20
0
0
30 Jan 2022
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
13
58
0
29 Apr 2021
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