Title Artificial neural networks in pattern recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings / Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin (eds.)

Published Cham : Springer, 2018

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Description 1 online resource (xi, 408 pages) : illustrations Series Lecture notes in computer science ; 11081 Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in computer science ; 11081. Lecture notes in computer science. Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence. Contents Intro -- Preface -- Organization -- Contents -- Invited Papers -- What's Wrong with Computer Vision? -- 1 Introduction -- 2 Top Ten Questions a Theory on Vision Should Address -- 3 Hierarchical Description of Visual Tasks -- 3.1 Pixel-Wise and Abstract Visual Interpretations -- 3.2 The Interwound Story of Vision and Language -- 3.3 When Vision Collapses to Classification -- 4 Conclusions -- References -- Deep Learning in the Wild -- 1 Introduction -- 2 Face Matching -- 3 Print Media Monitoring -- 4 Visual Quality Control -- 5 Music Scanning -- 6 Game Playing -- 7 Automated Machine Learning 8 Conclusions -- References -- Learning Algorithms and Architectures -- Effect of Equality Constraints to Unconstrained Large Margin Distribution Machines -- 1 Introduction -- 2 Least Squares Support Vector Machines -- 3 Large Margin Distribution Machines and Their Variants -- 3.1 Large Margin Distribution Machines -- 3.2 Least Squares Large Margin Distribution Machines -- 3.3 Unconstrained Large Margin Distribution Machines -- 4 Performance Evaluation -- 4.1 Conditions for Experiment -- 4.2 Results for Two-Class Problems -- 5 Conclusions -- References -- DLL: A Fast Deep Neural Network Library 1 Introduction -- 2 DLL: Deep Learning Library -- 2.1 Performance -- 2.2 Example -- 3 Experimental Evaluation -- 4 MNIST -- 4.1 Fully-Connected Neural Network -- 4.2 Convolutional Neural Network -- 5 CIFAR-10 -- 6 ImageNet -- 7 Conclusion and Future Work -- References -- Selecting Features from Foreign Classes -- 1 Introduction -- 2 Methods -- 2.1 Learning from Context Classes -- 2.2 Foreign Class Combinations -- 3 Experiments -- 3.1 Datasets -- 4 Results -- 5 Discussion and Conclusion -- References -- A Refinement Algorithm for Deep Learning via Error-Driven Propagation of Target Outputs 1 Introduction -- 2 Error-Driven Target Propagation: Formalization of the Algorithms -- 2.1 The Inversion Net -- 2.2 Refinement of Deep Learning via Target Propagation -- 3 Experiments -- 4 Conclusions -- References -- Combining Deep Learning and Symbolic Processing for Extracting Knowledge from Raw Text -- 1 Introduction -- 2 Model -- 2.1 Semantic Features -- 2.2 Logic Constraints -- 2.3 Segmentation -- 3 Experiments -- 4 Conclusions -- References -- SeNA-CNN: Overcoming Catastrophic Forgetting in Convolutional Neural Networks by Selective Network Augmentation -- 1 Introduction -- 2 Related Work 3 Proposed Method -- 4 Experiments -- 4.1 Network Architecture -- 4.2 Training Methodology -- 4.3 Isolated Learning -- 4.4 Adding New Tasks to the Models -- 4.5 Three Tasks Scenario -- 5 Conclusion -- References -- Classification Uncertainty of Deep Neural Networks Based on Gradient Information -- 1 Introduction -- 2 Entropy, Softmax Baseline and Gradient Metrics -- 3 Meta Classification -- A Benchmark Between Maximum Softmax Probability and Gradient Metrics -- 4 Recognition of Unlearned Concepts -- 5 Meta Classification with Known Unknowns -- 6 Conclusion and Outlook -- References Summary 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 Notes International conference proceedings Includes author index Online resource; title from PDF title page (SpringerLink, viewed September 7, 2018) Subject Neural networks (Computer science) -- Congresses Pattern recognition systems -- Congresses Pattern recognition. Image processing. Natural language & machine translation. Data mining. Artificial intelligence. Computers -- Computer Vision & Pattern Recognition. Computers -- Computer Graphics. Computers -- Natural Language Processing. Computers -- Database Management -- Data Mining. Computers -- Intelligence (AI) & Semantics. Neural networks (Computer science) Pattern recognition systems Genre/Form proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès. Form Electronic book Author Pancioni, Luca, editor Schwenker, Friedhelm, editor. Trentin, Edmondo, editor. ISBN 9783319999784 3319999788 9783319999791 3319999796

Other Titles ANNPR 2018

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