Pattern Recognition Applications and Methods: 12th International Conference, ICPRAM 2023, Lisbon, Portugal, February 22-24, 2023, Revised Selected Papers - Info and Reading Options

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Intro -- Preface -- Organization -- Contents -- Theory and Methods -- Exploring Data Augmentation Strategies for Diagonal Earlobe Crease Detection -- 1 Introduction -- 2 Related Work -- 2.1 Physiological Perspectives on DELC -- 2.2 Computer Vision Perspectives on DELC -- 3 Dataset -- 4 Proposal Description -- 4.1 Proposed Architecture -- 4.2 Data Augmentation -- 4.3 Backbone Comparison -- 5 Experimental Setup -- 6 Results -- 7 Conclusions -- References -- Distance Transform in Images and Connected Plane Graphs -- 1 Introduction -- 2 Background and Definitions -- 3 DT in a Connected Plane Graph -- 3.1 Bottom-Up Construction in the Irregular Pyramid -- 3.2 Top-Down Propagation -- 4 Distance Transform (DT) in a Binary Image -- 5 Evaluation and Results -- 6 Conclusion -- References -- Real-World Indoor Location Assessment with Unmodified RFID Antennas -- 1 Introduction -- 2 State of the Art -- 3 RFID Antenna Description -- 4 Previous Solution -- 5 Scenario -- 6 Evolved Solution -- 6.1 Baseline -- 6.2 First Pre-processing: IQR -- 6.3 Second Pre-processing: AutoEncoder -- 7 Conclusion -- References -- Applications -- MSAA-Net: Multi-Scale Attention Assembler Network Based on Multiple Instance Learning for Pathological Image Analysis -- 1 Introduction -- 2 Related Work -- 2.1 WSI Classification -- 2.2 MIL-Based WSI Classification -- 3 Proposed Method -- 3.1 Problem Formulation -- 3.2 Multi-scale Attention Assembler Network -- 4 Experiment -- 4.1 Dataset -- 4.2 Comparison Methods and Evaluation Metrices -- 4.3 Implementation Details -- 4.4 Results -- 5 Discussion -- 5.1 Visualization of Attention Maps -- 5.2 Distribution of Attention Weights of Each Method -- 5.3 Attention Weight Assignment for Each Scale of MSAA-Net -- 6 Conclusion -- References -- Analysis of Generative Data Augmentation for Face Antispoofing -- 1 Introduction -- 2 Similar Work

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