Pattern Recognition 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings
This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recogn...
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| Main Authors | , , , |
|---|---|
| Format | eBook Conference Proceeding |
| Language | English |
| Published |
Cham
Springer Nature
2018
Springer International Publishing AG Springer International Publishing Springer |
| Edition | 1 |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783319921983 3319921983 9783319921976 3319921975 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-319-92198-3 |
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Table of Contents:
- 3.1 The CESAMO Algorithm -- 4 Experimental Results -- 4.1 First Order Relations (Pearson's Correlation) -- 4.2 Higher Order Relations (Functional Approximation) -- 5 Conclusions -- References -- Image Clustering Based on Frequent Approximate Subgraph Mining -- 1 Introduction -- 2 Related Work -- 2.1 The VEAM Algorithm -- 3 Our Proposal -- 4 Experiments -- 5 Conclusions -- References -- Validation of Semantic Relation of Synonymy in Domain Ontologies Using Lexico-Syntactic Patterns and Acronyms -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results and Discussion -- 4.1 Dataset -- 4.2 Experimental Results -- 5 Conclusions -- References -- Computer Vision -- Scene Text Segmentation Based on Local Image Phase Information and MSER Method -- 1 Introduction -- 2 Theoretical Background -- 2.1 Scale-Space Monogenic Signal and Phase Congruency Approach -- 2.2 Maximally Stable External Regions -- 3 Text Segmentation Method -- 4 Simulation Results -- 4.1 Experimental Setup -- 4.2 Evaluation Protocol -- 4.3 Results -- 5 Conclusion -- References -- A Lightweight Library for Augmented Reality Applications -- 1 Introduction -- 2 Augmented Reality Application -- 3 Description of the Lightweight Library -- 4 Experiments and Results -- 5 Conclusions -- References -- Point Set Matching with Order Type -- 1 Introduction -- 2 Order Type for Point Matching -- 3 Application -- 4 Conclusion -- References -- Including Foreground and Background Information in Maya Hieroglyph Representation -- 1 Introduction -- 2 Proposed Method -- 2.1 Pre-processing a Maya Hieroglyph -- 2.2 Computing Local Descriptors -- 2.3 Representing Maya Hieroglyphs -- 3 Experiments -- 4 Conclusions -- References -- A Fast Algorithm for Robot Localization Using Multiple Sensing Units -- 1 Introduction -- 2 Related Work -- 3 System Overview -- 4 Velocity Map for Camera Selection
- 4.1 Camera-Blocking Detection -- 4.2 Camera Selection -- 5 Experiments -- 5.1 Static Test -- 5.2 Dynamic Test -- 6 Conclusions -- References -- Improving Breast Mass Classification Through Kernel Methods and the Fusion of Clinical Data and Image Descriptors -- 1 Introduction -- 2 Image Descriptors -- 3 Classifiers -- 4 Results and Discussion -- 5 Conclusions -- References -- An Improved Stroke Width Transform to Detect Race Bib Numbers -- 1 Introduction -- 2 Related Works -- 2.1 Stroke Width Transform (SWT) -- 2.2 RBNs Detection -- 3 Proposed SWT -- 4 Experiments -- 4.1 Results -- 5 Conclusions -- References -- Scaled CCR Histogram for Scale-Invariant Texture Classification -- 1 Introduction -- 2 Scale Invariant Descriptor -- 2.1 Coordinated Clusters Representation -- 2.2 Scaled CCR Histogram -- 2.3 Classifier -- 3 Experimental Design and Results -- 3.1 Experiment 1: Robustness of the SCCR to Scale Changes -- 3.2 Experiment 2: Classification Accuracy of CCR and SCCR -- 3.3 Experiment 3: Comparison with Other Approaches -- 4 Conclusions -- References -- Author Index
- 5 Conclusions -- References -- A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals -- 1 Introduction -- 2 Dataset Recording and Preparation -- 2.1 Data Recording -- 2.2 Experiment Design -- 2.3 Data Preprocessing -- 2.4 Attributes -- 2.5 Deep Neural Networks (DNNs) -- 3 Experiments and Results -- 4 Conclusions -- References -- Learning Word and Sentence Embeddings Using a Generative Convolutional Network -- 1 Introduction -- 1.1 Related Work -- 2 Background -- 3 Learning Word Embeddings for Sentences -- 3.1 Word Embeddings Dictionaries -- 4 Experimental Setup -- 4.1 Network Architecture -- 5 Experimental Results and Discussion -- 6 Conclusions -- References -- Dense Captioning of Natural Scenes in Spanish -- 1 Introduction -- 2 Related Work -- 3 Automatic Description of Scenes -- 3.1 Dense Captioning in Spanish -- 3.2 System Architecture -- 4 Experiment -- 4.1 Training -- 4.2 Performance Evaluation -- References -- Automated Detection of Hummingbirds in Images: A Deep Learning Approach -- 1 Introduction -- 2 Background and Related Work -- 2.1 Hummingbird Behavior Analysis -- 2.2 Convolutional Neural Networks -- 3 Transfer Learning in CNNs for Detection of Hummingbirds in Images -- 3.1 Transfer Learning Strategies -- 3.2 Detecting Hummingbirds with Transfered Learning from CNNs -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Data Mining -- Patterns in Poor Learning Engagement in Students While They Are Solving Mathematics Exercises in an Affective Tutoring System Related to Frustration -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusions -- 5 Future Work -- References -- Pattern Discovery in Mixed Data Bases -- Abstract -- 1 Introduction -- 2 Encoding Mixed Databases -- 2.1 Pseudo-Binary Encoding -- 2.2 Pattern Preserving Codes -- 3 General Methodology
- Intro -- Preface -- Organization -- Contents -- Pattern Recognition Principles -- Patterns of Go Gaming by Ising Model -- Abstract -- 1 Introduction -- 2 Ising Model for Go Stochastic Interaction -- 2.1 The Go Energy Function -- 3 Experiments and Results -- 3.1 Human Go Games -- 3.2 AlphaGo Versus Lee Sedol Games -- 4 Discussion -- 5 Conclusions -- Acknowledgment -- References -- A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods -- 1 Introduction -- 2 Filter Methods for FS -- 3 Proposed Criterion for Evaluating Rankings -- 4 Experimental Results -- 4.1 The w Parameter -- 5 Conclusions -- References -- Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study -- 1 Introduction -- 2 Basic Concepts -- 3 Experimental Results -- 4 Conclusions -- References -- On the Construction of a Specific Algebra for Composing Tonal Counterpoint -- 1 Introduction -- 2 Numerical Model -- 2.1 Pitch Representation -- 2.2 Tonality Limits -- 2.3 Harmonic Space -- 3 Functional Space -- 3.1 A Family of Functions F: M2 M -- 3.2 Conduction Rules -- 3.3 Bridge Function -- 3.4 Absolute Function -- 4 Pseudorandom Music Generation -- 4.1 Theme Creation -- 4.2 Discussion -- 4.3 Future Work -- References -- The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors -- 1 Introduction -- 2 Theoretical Background -- 2.1 Basic Concepts -- 2.2 Pruning Properties for Typical Testor Computation -- 3 Fast-BR and GCreduct Algorithms -- 4 Experimental Study -- 5 Conclusions -- References -- Fast Convex Hull by a Geometric Approach -- 1 Introduction -- 2 Geometric Context -- 3 SymmetricHull Algorithm -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem -- 1 Introduction
- 2 Background and Related Work -- 2.1 Heuristics for the Knapsack Problem -- 3 Solution Model -- 3.1 Problem Representation -- 3.2 The Hyper-heuristic Generation Algorithm -- 4 Experiments and Results -- 4.1 Analysis of Hyper-heuristics -- 4.2 Selection of Heuristics Throughout the Search -- 5 Conclusion and Future Work -- References -- A Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas -- 1 Introduction -- 2 Preliminaries -- 2.1 The Signed Primal Graph of a 2-CF -- 3 Outerplanar 2-CNF Formulas -- 3.1 Tree Decomposition -- 4 Computing #2SAT on Outerplanar 2-CNF Formulas -- 5 Results -- 6 Conclusion -- References -- Improving the List of Clustered Permutation on Metric Spaces for .2em plus .1em minus .1emSimilarity Searching on Secondary Memory -- 1 Introduction -- 2 Previous Work -- 2.1 Partitions-Based Algorithms -- 2.2 Permutation-Based Algorithms -- 2.3 List of Clusters -- 2.4 List of Clustered Permutations -- 2.5 Secondary Memory -- 3 Our Proposal -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Modelling 3-Coloring of Polygonal Trees via Incremental Satisfiability -- 1 Introduction -- 2 Preliminaries -- 3 Polygonal Tree Graphs -- 4 Coloring a Polygonal Tree -- 5 Conclusions -- References -- Deep Learning, Neural Networks and Associative Memories -- Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays -- 1 Introduction -- 2 Related Works -- 3 Deep Learning Methods -- 3.1 Multilayer Perceptron -- 3.2 Recurrent Neural Network -- 3.3 Bidirectional Recurrent Neural Network -- 3.4 Autoencoder -- 4 Experimental Set-Up -- 5 Results -- 6 Conclusions -- References -- Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories -- 1 Introduction -- 2 Convex Hulls and Extremal Points -- 3 Lattice Polytopes -- 4 The Geometry of P(X)