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E-raamat: Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings

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This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016.





The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.





 
Invited Papers
Learning Sequential Data with the Help of Linear Systems
3(15)
Luca Pasa
Alessandro Sperduti
A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)
18(11)
Vivienne Breen
Nikola Kasabov
Peng Du
Stefan Calder
Learning Algorithms and Architectures
Improving Generalization Abilities of Maximal Average Margin Classifiers
29(13)
Shigeo Abe
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation
42(13)
Frank-M. Schleif
Ata Kaban
Peter Tino
Incremental Construction of Low-Dimensional Data Representations
55(13)
Alexander Kuleshov
Alexander Bernstein
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks
68(12)
Edmondo Trentin
Density Based Clustering via Dominant Sets
80(12)
Jian Hou
Weixue Liu
Xu E
Co-training with Credal Models
92(13)
Yann Soullard
Sebastien Destercke
Indira Thouvenin
Interpretable Classifiers in Precision Medicine: Feature Selection and Multi-class Categorization
105(12)
Lyn-Rouven Schirra
Florian Schmid
Hans A. Kestler
Ludwig Lausser
On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification
117(9)
Ricardo Lopes
Kelton Costa
Joao Papa
On the Harmony Search Using Quaternions
126(12)
Joao Papa
Danillo Pereira
Alexandro Baldassin
Xin-She Yang
Learning Parameters in Deep Belief Networks Through Firefly Algorithm
138(12)
Gustavo Rosa
Joao Papa
Kelton Costa
Leandro Passos
Clayton Pereira
Xin-She Yang
Towards Effective Classification of Imbalanced Data with Convolutional Neural Networks
150(13)
Vidwath Raj
Sven Magg
Stefan Wermter
On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM
163(12)
Baptiste Wicht
Andreas Fischer
Jean Hennebert
Comparing Incremental Learning Strategies for Convolutional Neural Networks
175(10)
Vincenzo Lomonaco
Davide Maltoni
Approximation of Graph Edit Distance by Means of a Utility Matrix
185(12)
Kaspar Riesen
Andreas Fischer
Horst Bunke
Applications
Time Series Classification in Reservoir- and Model-Space: A Comparison
197(12)
Witali Aswolinskiy
Rene Felix Reinhart
Jochen Steil
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks
209(11)
Matias Valdenegro-Toro
Background Categorization for Automatic Animal Detection in Aerial Videos Using Neural Networks
220(13)
Yunfei Fang
Shengzhi Du
Rishaad Abdoola
Karim Djouani
Predictive Segmentation Using Multichannel Neural Networks in Arabic OCR System
233(13)
Mohamed A. Radwan
Mahmoud I. Khalil
Hazem M. Abbas
Quad-Tree Based Image Segmentation and Feature Extraction to Recognize Online Handwritten Bangla Characters
246(11)
Shibaprasad Sen
Mridul Mitra
Shubham Chowdhury
Ram Sarkar
Kaushik Roy
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins
257(12)
Marco Bongini
Vincenzo Laveglia
Edmondo Trentin
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals
269(16)
Mohammadreza Amirian
Markus Kachele
Friedhelm Schwenker
Active Learning for Speech Event Detection in HCI
285(13)
Patrick Thiam
Sascha Meudt
Friedhelm Schwenker
Gunther Palm
Emotion Recognition in Speech with Deep Learning Architectures
298(14)
Mehmet Erdal
Markus Kachele
Friedhelm Schwenker
On Gestures and Postural Behavior as a Modality in Ensemble Methods
312(12)
Heinke Hihn
Sascha Meudt
Friedhelm Schwenker
Machine Learning Driven Heart Rate Detection with Camera Photoplethysmography in Time Domain
324(11)
Viktor Kessler
Markus Kachele
Sascha Meudt
Friedhelm Schwenker
Gunther Palm
Author Index 335