Pattern Recognition 9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings
This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on patte...
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| Main Authors | , , |
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| Format | eBook Conference Proceeding |
| Language | English |
| Published |
Cham
Springer Nature
2017
Springer International Publishing AG Springer International Publishing Springer |
| Edition | 1 |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 3319592262 9783319592268 9783319592251 3319592254 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-319-59226-8 |
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| Abstract | This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition. |
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| AbstractList | This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition. |
| Author | Martínez-Trinidad, José Francisco Carrasco-Ochoa, Jesús Ariel Olvera-López, José Arturo |
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| Editor | Olvera-L'pez, Jos' Arturo Carrasco-Ochoa, Jes's Ariel Mart'nez-Trinidad, Jos' Francisco |
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| RelatedPersons | Kleinberg, Jon M. Mattern, Friedemann Naor, Moni Mitchell, John C. Terzopoulos, Demetri Steffen, Bernhard Pandu Rangan, C. Kanade, Takeo Kittler, Josef Weikum, Gerhard Hutchison, David Tygar, Doug |
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| Snippet | This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29... |
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| SubjectTerms | Artificial Intelligence Computer Science Computer vision Data Mining and Knowledge Discovery Image Processing and Computer Vision Information Systems Applications (incl. Internet) Pattern Recognition Pattern recognition systems Pattern recognition systems-Congresses Special computer methods |
| Subtitle | 9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings |
| TableOfContents | Intro -- Preface -- Organization -- Contents -- Pattern Recognition and Artificial Intelligence Techniques -- An Algorithm for Computing Goldman Fuzzy Reducts -- 1 Introduction -- 2 Goldman Fuzzy Reducts -- 3 GFR Algorithm -- 3.1 Experimental Results -- 4 Conclusions -- References -- A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases -- Abstract -- 1 Introduction -- 2 Encoding Mixed Databases -- 2.1 Pseudo-Binary Encoding -- 2.2 Pattern Preserving Codes -- 3 General Methodology -- 3.1 The CENG Algorithm -- 3.2 ParCENG -- 3.3 ParCENG's Configuration Parameters -- 4 Experiments -- 4.1 Parallel CENG -- 4.2 Determining the Number of Generations for the EGA -- 4.3 Determining the Number of Epochs to Train the MLPs -- 5 Conclusions -- References -- Extending Extremal Polygonal Arrays for the Merrifield-Simmons Index -- 1 Introduction -- 2 Polygonal Chains -- 3 Fibonacci Properties to Compute Indices of Polygonal Chains -- 4 Extremal Topologies on Polygonal Graphs -- 5 Conclusions -- References -- Comparing Deep and Dendrite Neural Networks: A Case Study -- 1 Introduction -- 2 Previous Work -- 3 Deep Neural Networks -- 4 Dendrite Morphological Neurons -- 5 Experiments -- 5.1 Spiral Datasets -- 5.2 Experimetal Results for DNNs -- 5.3 Experimetal Results for DMNs -- 5.4 Decision Boundaries -- 6 Conclusion and Future Work -- References -- A Novel Contrast Pattern Selection Method for Class Imbalance Problems -- 1 Introduction -- 2 Related Work -- 3 New Contrast Pattern Selection Method -- 4 Experimental Setup -- 5 Experimental Results -- 5.1 Regarding Different Class Imbalance Levels -- 6 Conclusions and Future Work -- References -- Efficient Pattern Recognition Using the Frequency Response of a Spiking Neuron -- 1 Introduction -- 2 Pattern Recognition Using a Single Spiking Neuron -- 3 The Izhikevich Model 4 Obtaining and Fitting the Frequency Response Curve -- 5 Results -- 6 Conclusions and Future Work -- References -- Evolutionary Clustering Using Multi-prototype Representation and Connectivity Criterion -- 1 Introduction -- 2 Related Work -- 2.1 Encoding Schemes -- 2.2 Cluster Validity Indices -- 3 Proposed Approach -- 3.1 Differential Evolution Algorithm -- 3.2 Multi-prototype Representation -- 3.3 A Connectivity-Based CVI -- 3.4 Avoiding Erroneous Clustering Solutions -- 3.5 Pseudocode of MACDE Algorithm -- 4 Experimental Setup -- 4.1 Parameter Settings -- 4.2 Data Sets -- 4.3 Clustering Quality Evaluation -- 5 Experimental Results -- 6 Conclusions -- References -- Fixed Height Queries Tree Permutation Index for Proximity Searching -- 1 Introduction -- 2 Basic Concepts -- 3 Related Works -- 3.1 Fixed Height Queries Tree -- 3.2 Permutation-Based Algorithm (PBA) -- 4 Fixed Height Queries Tree Permutation (FHQTP) -- 4.1 Index Construction -- 4.2 Searching -- 4.3 Example -- 4.4 Partial vs Full Permutation -- 5 Experiment Results -- 5.1 Synthetic Datasets -- 5.2 Real World Datasets -- 6 Conclusions and Future Work -- References -- A Projection Method for Optimization Problems on the Stiefel Manifold -- 1 Introduction -- 2 Algorithms -- 2.1 Notation -- 2.2 Optimality Conditions -- 2.3 Update Schemes -- 2.4 Strategies to Select the Step Size -- 3 Theoretical Results -- 4 Numerical Experiments -- 4.1 Implementation Details -- 4.2 Weighted Orthogonal Procrustes Problem (WOPP) -- 5 Conclusions -- References -- An Alternating Genetic Algorithm for Selecting SVM Model and Training Set -- 1 Introduction -- 1.1 Contribution -- 1.2 Paper Structure -- 2 Related Literature -- 3 Proposed Method -- 3.1 Individuals and Their Fitness -- 3.2 Selecting Training Set -- 3.3 SVM Model Optimization -- 4 Experimental Validation -- 5 Conclusions and Outlook -- References Language Proficiency Classification During Computer-Based Test with EEG Pattern Recognition Methods An Exploration Strategy for RL with Considerations of Budget and Risk -- 1 Introduction -- 2 Related Work -- 3 Learning Framework Description -- 3.1 Shaping Rewards -- 3.2 Mapping the Risk Profile Using Reward Shaping -- 4 Scenario Description -- 5 Experiments -- 5.1 Experiment Settings -- 5.2 Experimental Results -- 6 Conclusions and Future Work -- References -- Modeling Dependencies in Supervised Classification -- 1 Introduction -- 2 Copula Functions -- 3 The Probabilistic Model for Classification -- 3.1 The Probabilistic Classifier -- 4 Experiments -- 4.1 Numerical Results -- 4.2 Discussion -- 5 Conclusions -- References -- Fast-BR vs. Fast-CT_EXT: An Empirical Performance Study -- 1 Introduction -- 2 Basic Concepts -- 2.1 Concepts for Fast-CT_EXT -- 2.2 Concepts for Fast-BR -- 3 Comparative Study -- 3.1 Comparison over Synthetic Basic Matrices -- 4 Evaluation on Standard Datasets -- 5 Conclusions -- References -- Assessing Deep Learning Architectures for Visualizing Maya Hieroglyphs -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 4 Experiments -- 4.1 Dataset -- 4.2 Protocol -- 5 Results -- 6 Conclusions -- References -- Image Processing and Analysis -- Image Noise Filter Based on DCT and Fast Clustering -- Abstract -- 1 Introduction -- 2 Wiener Filtering and Thresholding in DCT Domain -- 3 Local Spectra Estimation via Image Clustering -- 4 Proposed Filtering Technique -- 5 Results -- 6 Conclusions -- Acknowledgment -- References -- Color-Texture Image Analysis for Automatic Failure Detection in Tiles -- 1 Introduction -- 1.1 Previous Works -- 2 Feature Extraction -- 2.1 CIEL*ab Color Space -- 2.2 Texture Features -- 3 Failure Detection Strategy -- 3.1 Design of the Artificial Neural Network (ANN) -- 3.2 Training the ANN -- 4 Experimental Results -- 4.1 Performance Evaluation and Comparative Analysis -- 5 Conclusions -- References ROIs Segmentation in Facial Images Based on Morphology and Density Concepts -- 1 Introduction -- 2 Methodology for Face ROIs Segmentation -- 3 Experimental Results -- 4 Conclusions and Future Work -- References -- A Pathline-Based Background Subtraction Algorithm -- 1 Introduction -- 2 Vector Fields -- 3 Related Work -- 4 A Pathline-Based Approach for Background Subtraction -- 5 Tracking Motion over an Unsteady Vector Field -- 5.1 Dense Pathline Computation -- 5.2 Filtering Pathlines by Their Orientation -- 6 Background Subtraction -- 7 Experimental Results -- 8 Conclusions -- References -- Robotics and Remote Sensing -- Perspective Reconstruction by Determining Vanishing Points for Autonomous Mobile Robot Visual Localization on Supermarkets -- 1 Introduction -- 2 Related Work -- 3 Perspective Reconstruction -- 3.1 Detecting Vanishing Points -- 3.2 Recovering Front Covers of Products -- 4 Experiments and Results -- 5 Conclusion -- References -- On the Detectability of Buried Remains with Hyperspectral Measurements -- 1 Introduction -- 2 Experimental Setting -- 2.1 Graves Simulation -- 2.2 Hyperspectral Measurements -- 2.3 Data Preparation -- 3 Methods for Detecting Buried Remains -- 3.1 Partial Least Squares -- 3.2 Variable Importance of Projection -- 4 Results -- 4.1 Temporal Window of Optimal Detection -- 4.2 Useful Spectral Intervals -- 4.3 Detection Accuracy -- 5 Conclusions -- References -- An Airborne Agent -- 1 Introduction -- 2 Related Work -- 3 Hardware Description -- 4 Proposed Approach and Methodology -- 5 Results -- 6 Conclusions and Future Work -- References -- Natural Language Processing and Recognition -- An Approach Based in LSA for Evaluation of Ontological Relations on Domain Corpora -- 1 Introduction -- 2 Related Work -- 3 LSA -- 4 Clustering By Committee -- 5 The Proposed Approach -- 6 Experimental Results -- 6.1 Dataset 6.2 Results -- 7 Conclusions -- References -- Semantic Similarity Analysis of Urdu Documents -- 1 Introduction -- 2 Related Work -- 3 Semantic Similarity System for Urdu (TripleS4Urdu) -- 3.1 Architectural Overview -- 3.2 System Overview -- 4 Experiment and Results -- 4.1 Experimentation Data and Setup -- 5 Conclusion -- References -- Mining the Urdu Language-Based Web Content for Opinion Extraction -- Abstract -- 1 Introduction -- 2 Literature Survey -- 3 Lexicon-Based Opinion Mining Model for Urdu Language (LOMMU) -- 4 Evaluation of LOMMU -- 5 Conclusion and Future Work -- References -- Applications of Pattern Recognition -- Morphological Analysis Combined with a Machine Learning Approach to Detect Utrasound Median Sagittal Sections for the Nuchal Translucency Measurement -- 1 Introduction -- 2 Materials and Methods -- 2.1 Fetal Ultrasound -- 2.2 Nuchal Translucency to Detect Abnormal Chromosomes -- 2.3 Criteria Proposed by the Fetal Medicine Foundation -- 2.4 Median Sagittal Sections -- 2.5 Dataset of Ultrasound Images -- 2.6 Pre-processing and Wavelets Analysis -- 2.7 Analysis of the Nuchal Translucency -- 3 Conclusions -- References -- BUSAT: A MATLAB Toolbox for Breast Ultrasound Image Analysis -- 1 Introduction -- 2 Toolbox Organization -- 3 Toolbox Usage -- 3.1 Installation -- 3.2 Help Topics -- 3.3 Running Examples -- 3.4 Special Considerations -- 4 Practical Examples -- 4.1 Building a CAD System -- 4.2 Evaluating a CAD System -- 5 Experimental Results -- 6 Conclusions -- References -- Fiber Defect Detection of Inhomogeneous Voluminous Textiles -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Capturing Environment and Database -- 4 Fiber Defect Recognition -- 4.1 CNN Classification Based on Keypoint Preselection -- 4.2 Fusion -- 4.3 Competitive Methods -- 5 Results and Discussion -- 6 Conclusion -- References |
| Title | Pattern Recognition |
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