Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings (Lecture Notes in Computer Science Book 11081)

This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. Front Matter ....Pages I-XI Front Matter ....Pages 1-1 What’s Wrong with Computer Vision? (Marco Gori)....Pages 3-16 Deep Learning in the Wild (Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi et al.)....Pages 17-38 Front Matter ....Pages 39-39 Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines (Shigeo Abe)....Pages 41-53 DLL: A Fast Deep Neural Network Library (Baptiste Wicht, Andreas Fischer, Jean Hennebert)....Pages 54-65 Selecting Features from Foreign Classes (Ludwig Lausser, Robin Szekely, Viktor Kessler, Friedhelm Schwenker, Hans A. Kestler)....Pages 66-77 A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs (Vincenzo Laveglia, Edmondo Trentin)....Pages 78-89 Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text (Andrea Zugarini, Jérémy Morvan, Stefano Melacci, Stefan Knerr, Marco Gori)....Pages 90-101 SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation (Abel Zacarias, Luís A. Alexandre)....Pages 102-112 Classification Uncertainty of Deep Neural Networks Based on Gradient Information (Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk)....Pages 113-125 Learning Neural Models for End-to-End Clustering (Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann)....Pages 126-138 A \(k\)-Nearest Neighbor Based Algorithm for Multi-Instance Multi-Label Active Learning (Adrian T. Ruiz, Patrick Thiam, Friedhelm Schwenker, Günther Palm)....Pages 139-151 Manifold Learning Regression with Non-stationary Kernels (Alexander Kuleshov, Alexander Bernstein, Evgeny Burnaev)....Pages 152-164 F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data (Roghayeh Soleymani, Eric Granger, Giorgio Fumera)....Pages 165-177 Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation (Edmondo Trentin)....Pages 178-189 Generating Bounding Box Supervision for Semantic Segmentation with Deep Learning (Simone Bonechi, Paolo Andreini, Monica Bianchini, Franco Scarselli)....Pages 190-200 Inductive–Transductive Learning with Graph Neural Networks (Alberto Rossi, Matteo Tiezzi, Giovanna Maria Dimitri, Monica Bianchini, Marco Maggini, Franco Scarselli)....Pages 201-212 Bounded Rational Decision-Making with Adaptive Neural Network Priors (Heinke Hihn, Sebastian Gottwald, Daniel A. Braun)....Pages 213-225 Feature Selection with Rényi Min-Entropy (Catuscia Palamidessi, Marco Romanelli)....Pages 226-239 Front Matter ....Pages 241-241 Extracting Gamma-Ray Information from Images with Convolutional Neural Network Methods on Simulated Cherenkov Telescope Array Data (Salvatore Mangano, Carlos Delgado, María Isabel Bernardos, Miguel Lallena, Juan José Rodríguez Vázquez, for the CTA Consortium)....Pages 243-254 Automatic Hand Sign Recognition: Identify Unusuality Through Latent Cognizance (Pisit Nakjai, Tatpong Katanyukul)....Pages 255-267 Cascade of Ordinal Classification and Local Regression for Audio-Based Affect Estimation (Maxime Sazadaly, Pierre Pinchon, Arthur Fagot, Lionel Prevost, Myriam Maumy-Bertrand)....Pages 268-280 Combining Classical and Deep Learning Methods for Twitter Sentiment Analysis (Mohammad Hanafy, Mahmoud I. Khalil, Hazem M. Abbas)....Pages 281-292 PHoG Features and Kullback-Leibler Divergence Based Ranking Method for Handwriting Recognition (Taraggy M. Ghanim, Mahmoud I. Khalil, Hazem M. Abbas)....Pages 293-305 Pattern Recognition Pipeline for Neuroimaging Data (Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya et al.)....Pages 306-319 Anomaly Pattern Recognition with Privileged Information for Sensor Fault Detection (Dmitry Smolyakov, Nadezda Sviridenko, Evgeny Burikov, Evgeny Burnaev)....Pages 320-332 Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering (Thilo Stadelmann, Sebastian Glinski-Haefeli, Patrick Gerber, Oliver Dürr)....Pages 333-345 Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps (Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann)....Pages 346-358 Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER\(^3\)) (Volkmar Frinken, Satish Ravindran, Shriphani Palakodety, Guha Jayachandran, Nilesh Powar)....Pages 359-370 ATM Protection Using Embedded Deep Learning Solutions (Alessandro Rossi, Antonio Rizzo, Francesco Montefoschi)....Pages 371-382 Object Detection in Floor Plan Images (Zahra Ziran, Simone Marinai)....Pages 383-394 Historical Handwritten Document Segmentation by Using a Weighted Loss (Samuele Capobianco, Leonardo Scommegna, Simone Marinai)....Pages 395-406 Back Matter ....Pages 407-408