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Home > Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics > Input Transformation and Output Combination for Improved Handwritten Digit Recognition
Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics |
Petia Koprinkova-Hristova; Valeri Mladenov; Nikola K. Kasabov
Springer International Publishing
Artificial Neural Networks: Methods and Applications in Bio-/Neuroinformatics
Input Transformation and Output Combination for Improved Handwritten Digit Recognition
Authors

Juan M. Alonso-Weber; M. Paz Sesmero; German Gutierrez; Agapito Ledezma; Araceli Sanchis

ARI Id

1664984142946_4339183

Access

Not Available Free

Pages

435-443

DOI

10.1007/978-3-319-09903-3_21

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-09903-3_21

Table of Contents of Book
Showing 1 to 20 of 25 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
1-8
Recurrent Neural Networks and Super-Turing Interactive Computation
Jérémie Cabessa; Alessandro E. P. Villa
1-29
Image Classification with Nonnegative Matrix Factorization Based on Spectral Projected Gradient
Rafał Zdunek; Anh Huy Phan; Andrzej Cichocki
31-50
Energy-Time Tradeoff in Recurrent Neural Nets
Jiří Šíma
51-62
An Introduction to Delay-Coupled Reservoir Computing
Johannes Schumacher; Hazem Toutounji; Gordon Pipa
63-90
Double-Layer Vector Perceptron for Binary Patterns Recognition
Vladimir Kryzhanovskiy; Irina Zhelavskaya
91-113
Local Detection of Communities by Attractor Neural-Network Dynamics
Hiroshi Okamoto
115-125
Learning Gestalt Formations for Oscillator Networks
Martin Meier; Robert Haschke; Helge J. Ritter
127-147
Analysing the Multiple Timescale Recurrent Neural Network for Embodied Language Understanding
Stefan Heinrich; Sven Magg; Stefan Wermter
149-174
Learning to Look and Looking to Remember: A Neural-Dynamic Embodied Model for Generation of Saccadic Gaze Shifts and Memory Formation
Yulia Sandamirskaya; Tobias Storck
175-200
How to Pretrain Deep Boltzmann Machines in Two Stages
Kyunghyun Cho; Tapani Raiko; Alexander Ilin; Juha Karhunen
201-219
Training Dynamic Neural Networks Using the Extended Kalman Filter for Multi-Step-Ahead Predictions
Artem Chernodub
221-243
Learning as Constraint Reactions
Giorgio Gnecco; Marco Gori; Stefano Melacci; Marcello Sanguineti
245-270
Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
Frank Sehnke; Tingting Zhao
271-293
Sparse Approximations to Value Functions in Reinforcement Learning
Hunor S. Jakab; Lehel Csató
295-314
Neural Networks Solution of Optimal Control Problems with Discrete Time Delays and Time-Dependent Learning of Infinitesimal Dynamic System
Tibor Kmet; Maria Kmetova
315-332
Applying Prototype Selection and Abstraction Algorithms for Efficient Time-Series Classification
Stefanos Ougiaroglou; Leonidas Karamitopoulos; Christos Tatoglou; Georgios Evangelidis; Dimitris A. Dervos
333-348
Enforcing Group Structure through the Group Fused Lasso
Carlos M. Alaíz; Álvaro Barbero; José R. Dorronsoro
349-371
Incremental Anomaly Identification in Flight Data Analysis by Adapted One-Class SVM Method
Denis Kolev; Mikhail Suvorov; Evgeniy Morozov; Garegin Markarian; Plamen Angelov
373-391
Inertial Gesture Recognition with BLSTM-RNN
Grégoire Lefebvre; Samuel Berlemont; Franck Mamalet; Christophe Garcia
393-410
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 25 entries
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