A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

19 December 2015

Papers citing "A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction"

30 / 30 papers shown

Title
Anomaly detection in non-stationary videos using time-recursive differencing network based prediction Gargi V. Pillai Debashis Sen AI4TS 62 3 0 04 Mar 2025
Digital implementations of deep feature extractors are intrinsically informative Max Getter 60 0 0 20 Feb 2025
Computational Modeling of Deep Multiresolution-Fractal Texture and Its Application to Abnormal Brain Tissue Segmentation A. Temtam Linmin Pei Khan M. Iftekharuddin 18 0 0 07 Jun 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear Aapo Hyvarinen Ilyes Khemakhem R. Monti CML 30 41 0 06 Feb 2023
Graph Scattering beyond Wavelet Shackles Christian Koke Gitta Kutyniok 18 4 0 26 Jan 2023
Modulation spectral features for speech emotion recognition using deep neural networks Premjeet Singh Md. Sahidullah G. Saha 27 44 0 14 Jan 2023
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs Alejandro Parada-Mayorga Zhiyang Wang Alejandro Ribeiro 28 9 0 15 Dec 2022
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors Samaneh Manavi Roodsari Antal Huck-Horváth Sara Freund A. Zam G. Rauter Wolfgang Schade Philippe C. Cattin 11 9 0 28 Oct 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 38 2 0 19 Sep 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 36 16 0 17 Aug 2022
The Scattering Transform Network with Generalized Morse Wavelets and Its Application to Music Genre Classification W. H. Chak N. Saito David S. Weber 14 1 0 16 Jun 2022
Dimension-adaptive machine-learning-based quantum state reconstruction Sanjaya Lohani Sangita Regmi J. Lukens R. Glasser T. Searles Brian T. Kirby 22 6 0 11 May 2022
A Principled Design of Image Representation: Towards Forensic Tasks Shuren Qi Yushu Zhang Chao Wang Jiantao Zhou Xiaochun Cao 16 17 0 02 Mar 2022
Monogenic Wavelet Scattering Network for Texture Image Classification W. H. Chak N. Saito 12 4 0 25 Feb 2022
AdjointBackMapV2: Precise Reconstruction of Arbitrary CNN Unit's Activation via Adjoint Operators Qing Wan Siu Wun Cheung Yoonsuck Choe 19 0 0 04 Oct 2021
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification Qiufu Li Linlin Shen Sheng Guo Zhihui Lai OOD 21 84 0 28 Jul 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 19 9 0 27 Jun 2021
CSM-NN: Current Source Model Based Logic Circuit Simulation -- A Neural Network Approach M. Abrishami Massoud Pedram Shahin Nazarian 9 6 0 13 Feb 2020
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
The Oracle of DLphi Dominik Alfke W. Baines J. Blechschmidt Mauricio J. del Razo Sarmina Amnon Drory ... L. Thesing Philipp Trunschke Johannes von Lindheim David Weber Melanie Weber 26 0 0 17 Jan 2019
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 25 155 0 05 Oct 2018
On Lipschitz Bounds of General Convolutional Neural Networks Dongmian Zou R. Balan Maneesh Kumar Singh 16 54 0 04 Aug 2018
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 42 100 0 22 Jun 2018
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks S. Hamilton A. Hauptmann 43 253 0 08 Nov 2017
On Data-Driven Saak Transform C.-C. Jay Kuo Yueru Chen AI4TS 13 93 0 11 Oct 2017
Generalization Error of Invariant Classifiers Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 13 77 0 14 Oct 2016
Deep Structured Features for Semantic Segmentation Michael Tschannen Lukas Cavigelli Fabian Mentzer Thomas Wiatowski Luca Benini SSeg 18 14 0 26 Sep 2016
Understanding Convolutional Neural Networks with A Mathematical Model C.-C. Jay Kuo FAtt 19 370 0 14 Sep 2016
Discrete Deep Feature Extraction: A Theory and New Architectures Thomas Wiatowski Michael Tschannen Aleksandar Stanić Philipp Grohs Helmut Bölcskei FAtt 14 25 0 26 May 2016
Robust Large Margin Deep Neural Networks Jure Sokolić Raja Giryes Guillermo Sapiro M. Rodrigues 24 307 0 26 May 2016