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Applying Topological Persistence in Convolutional Neural Network for
  Music Audio Signals

Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals

26 August 2016
Jen-Yu Liu
Shyh-Kang Jeng
Yi-Hsuan Yang
ArXivPDFHTML

Papers citing "Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals"

6 / 6 papers shown
Title
Revisiting Point Cloud Completion: Are We Ready For The Real-World?
Revisiting Point Cloud Completion: Are We Ready For The Real-World?
Stuti Pathak
Prashant Kumar
Nicholus Mboga
Gunther Steenackers
R. Penne
Rudi Penne
81
0
0
26 Nov 2024
GLiDR: Topologically Regularized Graph Generative Network for Sparse
  LiDAR Point Clouds
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
Prashant Kumar
Kshitij Madhav Bhat
Vedang Bhupesh Shenvi Nadkarni
P. K. Kalra
12
2
0
29 Nov 2023
Activation Landscapes as a Topological Summary of Neural Network
  Performance
Activation Landscapes as a Topological Summary of Neural Network Performance
Matthew Wheeler
Jose J. Bouza
Peter Bubenik
19
19
0
19 Oct 2021
The persistence landscape and some of its properties
The persistence landscape and some of its properties
Peter Bubenik
23
62
0
11 Oct 2018
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained
  Convolutional Neural Networks for Music Auto-tagging
Multi-Level and Multi-Scale Feature Aggregation Using Pre-trained Convolutional Neural Networks for Music Auto-tagging
Jongpil Lee
Juhan Nam
16
137
0
06 Mar 2017
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
94
842
0
27 Jul 2012
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