PCA-Initialized Deep Neural Networks Applied To Document Image Analysis

PCA-Initialized Deep Neural Networks Applied To Document Image Analysis

1 February 2017

Mathias Seuret

Michele Alberti

Papers citing "PCA-Initialized Deep Neural Networks Applied To Document Image Analysis"

7 / 7 papers shown

Title
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification Souhail Bakkali Zuheng Ming Mickael Coustaty Marçal Rusiñol 10 6 0 11 May 2023
Mirror descent of Hopfield model Hyungjoon Soh D. Kim Juno Hwang Junghyo Jo 25 0 0 29 Nov 2022
E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction Shihong Wang Xueying Zhang Yichen Meng W. Xing 22 1 0 01 Mar 2022
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE) Séverine Affeldt Lazhar Labiod M. Nadif 16 75 0 08 Jan 2019
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Rolf Ingold Marcus Liwicki 24 27 0 23 Apr 2018
Historical Document Image Segmentation with LDA-Initialized Deep Neural Networks Michele Alberti Mathias Seuret Vinaychandran Pondenkandath Rolf Ingold Marcus Liwicki 32 17 0 19 Oct 2017
A Pitfall of Unsupervised Pre-Training Michele Alberti Mathias Seuret Rolf Ingold Marcus Liwicki SSL 13 3 0 13 Mar 2017