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[null,null,"Titolo",null,"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8–11, 2016, Proceedings / / edited by César Beltrán-Castañón, Ingela Nyström, Fazel Famili"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-52277-9"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVIII, 541 p. 197 illus.)"]
[null,null,"Collana",null,"Image Processing, Computer Vision, Pattern Recognition, and Graphics, , 3004-9954 ; ; 10125"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Pattern recognition systems"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data and Information Security"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Direction-Based Segmentation of Retinal Blood Vessels -- Abstract -- 1 Introduction -- 2 Building the Direction Map DMG -- 3 The Segmentation Method -- 4 Experimental Results and Concluding Remarks -- References -- Identifying Aedes aegypti Mosquitoes by Sensors and One-Class Classifiers -- 1 Introduction -- 2 Optical Sensor and Insect Data -- 2.1 Data Collection -- 2.2 Feature Extraction -- 3 One-Class Classification -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Partial Matching of Finger Vein Patterns Based on Point Sets Alignment and Directional Information -- Abstract -- 1 Introduction -- 2 The Proposed Approach -- 3 Experiments and Results -- 4 Conclusion -- References -- Highly Transparent and Secure Scheme for Concealing "]
[{"$nulls":4},"Text Within Audio -- 1 Introduction -- 2 Proposed Audio Steganography Model -- 2.1 Embedding Module -- 2.2 Recovering Module -- 3 Experimental Results and Discussion -- 3.1 Transparency -- 3.2 Security -- 4 Conclusion -- References -- Spatio-Colour Asplünd's Metric and Logarithmic Image Processing for Colour Images (LIPC) -- 1 Introduction -- 2 Prerequisites -- 2.1 LIPC Model -- 2.2 Marginal Asplünd's Metric for Colour and Multivariate Images -- 3 Asplünd's Metric Defined in the Logarithmic Image Processing Colour (LIPC) Framework -- 4 Examples -- 5 Conclusion and Perspectives -- References -- Two Compound Random Field Texture Models -- 1 Introduction -- 2 Compound Random Field Texture Models -- 2.1 Region Switching Model -- 2.2 Local Markov Models -- 3 Experiments -- 4 Conclusion -- References -- An Automatic Tortoise Specimen Recognition -- 1 Introduction -- 2 Discriminative Tortoise Features -- 3 Automatic Detection of Tortoise Features -- 3.1 Plastron Localization -- 3.2 Central Seam Junctions Localization -- 4 Tortoise Classification."]
[{"$nulls":4},"5 Experimental Results -- 5.1 Feature Discriminability Validation -- 5.2 Classification of Automatically Measured Features -- 6 Conclusion -- References -- Autonomous Scanning of Structural Elements in Buildings -- Abstract -- 1 Introduction: Key Points and Contributions -- 2 A Brief Overview of the Method -- 3 Structural Elements Recognition -- 3.1 Finding the Region of Interest -- 3.2 Structural Elements Classification -- 4 NBS -- 5 Test and Experimental Comparison -- 6 Conclusions -- Acknowledgements -- References -- Parallel Integer Motion Estimation for High Efficiency Video Coding (HEVC) Using OpenCL -- 1 Introduction -- 2 Parallel Integer Motion Estimation -- 2.1 Distortion Measure Calculations -- 2.2 Distortion Measure Accumulations -- 2.3 Estimating Minima of Rate-Distortion -- 2.4 GPU and CPU Communication -- 3 Experimental Evaluation -- 3.1 Experimental Setup and Encoder Configuration -- 3.2 Experimental Results -- 4 Conclusions -- References -- Automatic Fruit and Vegetable Recognition Based on CENTRIST and Color Representation -- 1 Introduction -- 2 Background -- 2.1 CENTRIST -- 2.2 Color CENTRIST -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Feature Reduction and Classification -- 4 Experimental Results -- 5 Conclusions -- References -- Scale Sensitivity of Textural Features -- 1 Introduction -- 2 Textural Features -- 2.1 2DCAR Illumination Invariant Features -- 2.2 Local Binary Patterns -- 2.3 Gabor Features -- 2.4 Histogram Based Features -- 3 Experiments -- 4 Conclusion -- References -- Noise-Added Texture Analysis -- 1 Introduction -- 2 Regionalized Variables in an Image -- 3 Measuring Dissimilarity of Regionalized Variables -- 4 Experiments -- 5 Conclusion -- References -- Breast Density Classification with Convolutional Neural Networks -- 1 Introduction -- 1.1 Breast Density."]
[{"$nulls":4},"1.2 American College of Radiology: BIRADS Categories -- 1.3 Radiologist Agreement and Performance Evaluation -- 2 The Breast Density Dataset -- 3 Methods -- 3.1 HT-L3 Visual Features with Random Filters -- 3.2 Deep Learning Trained with the Image.net and Fine-Tuned with the Breast Density Dataset -- 4 Results -- 5 Conclusions -- References -- Community Feature Selection for Anomaly Detection in Attributed Graphs -- 1 Introduction -- 2 Related Work -- 3 Basic Concepts -- 4 Improving Anomaly Detection Using Community Features -- 5 Experimental Results -- 6 Conclusions -- References -- Lung Nodule Classification Based on Deep Convolutional Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Lung Nodule Classification -- 2.2 Deep Learning -- 3 Proposed Method -- 3.1 Preprocessing and Data Augmentation -- 3.2 Architecture -- 3.3 Learning -- 3.4 Adjacent Rejection -- 4 Experimental Results -- 4.1 "]
[{"$nulls":4},"Dataset -- 4.2 Results -- 5 Conclusions -- References -- A Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation -- 1 Introduction -- 2 Materials and Methods -- 3 Experimental Set-Up -- 4 Results and Discussion -- 5 Conclusions -- References -- Discriminative Capacity and Phonetic Information of Bottleneck Features in Speech -- 1 Introduction -- 2 Bottleneck Features -- 3 Discriminative Capacity of the BN Features -- 4 Phonetic Information Conveyed by the BN Features -- 5 Experimental Setup -- 5.1 Data Corpus -- 5.2 The DNN Toolkit -- 5.3 Experiments -- 6 Results -- 7 Conclusions -- References -- Boosting SpLSA for Text Classification -- 1 Introduction -- 2 Related Work -- 3 Supervised pLSA and Our Extensions -- 3.1 Variables and Assumptions -- 3.2 Supervised pLSA (spLSA) -- 3.3 Model Fitting -- 3.4 Label Inference on New Documents -- 3.5 A First Extension: SpLSA Regularization -- 3.6 A Second Extension: Modeling Label Uncertainty."]
[{"$nulls":4},"4 Experiments -- 4.1 Data Sets -- 4.2 Results -- 5 Conclusions -- References -- A Compact Representation of Multiscale Dissimilarity Data by Prototype Selection -- 1 Introduction -- 2 Proposed Method -- 3 Experimental Analysis -- 4 Conclusions -- References -- A Kernel-Based Approach for DBS Parameter Estimation -- 1 Introduction -- 2 Materials and Methods -- 3 Experimental Set-Up -- 4 Results and Discussion -- 5 Conclusions -- References -- Consensual Iris Segmentation Fusion -- 1 Introduction -- 2 Iris Consensual Segmentation Fusion by Segmentation Ensemble via Kernels -- 3 Experimental Design -- 3.1 Results and Discussion -- 4 Conclusions -- References -- Depth Estimation with Light Field and Photometric Stereo Data Using Energy Minimization -- 1 Introduction -- 2 Acquisition Setup -- 3 Combination of Light Fields and Photometric Stereo -- 3.1 Light Field Depth Estimation -- 3.2 Surface Normals from Photometric Stereo -- 3.3 Energy Minimization -- 4 Experimental Results -- 5 Summary and Outlook -- References -- Distributed and Parallel Algorithm for Computing Betweenness Centrality -- 1 Introduction -- 2 Background -- 3 Our Proposal -- 3.1 Modification for Sparse Networks -- 3.2 Analysis -- 4 Experiments -- 5 Conclusions and Future Work -- References -- A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning -- 1 Introduction -- 2 Supervised Classification Based on Optimum-Path Forest -- 2.1 Training -- 2.2 Testing -- 3 Parallel-Driven Optimum-Path Forest Training -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Face Composite Sketch Recognition by BoVW-Based Discriminative Representations -- 1 Introduction -- 2 Proposal: BoVW-Based Discriminative Representation -- 3 Experimental Analysis -- 4 Conclusions -- References -- Efficient Sparse Approximation of Support Vector Machines Solving a Kernel Lasso."]
[{"$nulls":4},"1 Introduction -- 2 Problem Statement and Related Work -- 3 Sparse SVM Approximations via Kernelized Lasso -- 4 Experimental Results -- 5 Conclusions -- References -- Metric Learning in the Dissimilarity Space to Improve Low-Resolution Face Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach: Dissimilarity Space and Metric Learning for LRFR -- 3.1 Dissimilarity Space -- 3.2 Metric Learning Approach -- 4 Experimental Evaluation -- 4.1 Experiments and Discussion on SCFace Database -- 4.2 Experiments and Discussion on LFW Database -- 5 Conclusions -- References -- Video Temporal Segmentation Based on Color Histograms and Cross-Correlation -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Histogram-Based Dissimilarity -- 3.2 Block-Based Cross-Correlation -- 3.3 Fusion -- 3.4 Adaptive Thresholding -- 4 Experimental Results -- 5 Conclusions and Future Work -- References -- Automatic Classification "]
[{"$nulls":4},"of Herbal Substances Enhanced with an Entropy Criterion -- 1 Introduction -- 2 Data Preprocessing -- 3 Discovery of Classes -- 4 Entropy-Based Template Selection -- 5 SVM Classification -- 6 Experimental Results and Discussion -- 7 Conclusions and Future Work -- References -- Extended LBP Operator to Characterize Event-Address Representation Connectivity -- 1 Introduction -- 2 Features Generation -- 2.1 Dynamic Vision Sensor Data -- 2.2 Events Orientation -- 2.3 Events Connectivity -- 3 Grouping Features as Histograms -- 4 Discussions and Conclusions -- References -- Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models -- 1 Introduction -- 2 Materials and Methods -- 2.1 Latent Force Models -- 2.2 Hidden Markov Models -- 2.3 HMM and LFM -- 2.4 Learning the Model -- 3 Experimental Results -- 3.1 Synthetic Data -- 3.2 Real Data -- 4 Conclusions -- References."]
[{"$nulls":4},"Similarity Measure for Cell Membrane Fusion Proteins Identification."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed post-conference proceedings of the 21st Iberoamerican Congress on Pattern Recognition, CIARP 2016, held in Lima, Peru, in November 2016. The 69 papers presented were carefully reviewed and selected from 131 submissions. The papers feature research results in the areas of pattern recognition, biometrics, image processing, computer vision, speech recognition, and remote sensing. They constitute theoretical as well as applied contributions in many fields related to the main topics of the conference."]