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This book constitutes the proceedings of the 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015, held in Santiage de Compostela, Spain, in June 2015.The 83 papers presented in this volume were carefully reviewed and selected from 141 submissions. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Applications; Medical Image; Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; and Applications
List of contents
Pattern Recognition and Machine Learning.- Spatiotemporal Stacked Sequential Learning for Pedestrian Detection.- Social Signaling Descriptor for Group Behaviour Analysis.- A New Smoothing Method for Lexicon-Based Handwritten Text Keyword Spotting.- Empirical Evaluation of Different Feature Representations for Social Circles Detection.- Source-Target-Source Classification Using Stacked Denoising Autoencoders.- On the Impact of Distance Metrics in Instance-Based Learning Algorithms.- Multi-class Boosting for Imbalanced Data.- Computer Vision.- Object Discovery Using CNN Features in Egocentric Videos.- Prototype Generation on Structural Data Using Dissimilarity Space Representation: A Case of Study.- Estimation and Tracking of Partial Planar Templates to Improve VSLAM.- Human Centered Scene Understanding Based on 3D Long-TermTracking Data.- Fast Head Pose Estimation for Human-Computer Interaction.- Structured Light System Calibration for Perception in Underwater Tanks.- Dense 3D SLAM in Dynamic Scenes Using Kinect.- Scene Recognition Invariant to Symmetrical Reflections and Illumination Conditions in Robotics.- System for Medical Mask Detection in the Operating Room Through Facial Attributes.- Image and Signal Processing.- New Method for Obtaining Optimal Polygonal Approximations.- Noise Decomposition Using Polynomial Approximation.- Color Correction for Image Stitching by Monotone Cubic Spline Interpolation.- Structured Output Prediction with Hierarchical Loss Functions for Seafloor Imagery Taxonomic Categorization.- Escaping Path Approach with Extended Neighborhood for Speckle Noise Reduction.- Adaptive Line Matching for Low-Textured Images.- Unsupervised Approximation of Digital Planar Curves.- On the Modification of Binarization Algorithms to Retain Grayscale Information for Handwritten Text Recognition.- Applications.- Improving the Minimum Description Length Inference of Phrase-Based Translation Models.- A Kinect-Based System to Assess Lymphedema Impairments inBreast Cancer Patients.- Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments.- A Fuzzy C-Means Algorithm for Fingerprint Segmentation.- Word-Graph Based Applications for Handwriting Documents: Impact of Word-Graph Size on Their Performances.- Temporal Segmentation of Digital Colposcopies.- Goal-Driven Phenotyping Through Spectral Imaging for Grape Aromatic Ripeness Assessment.- Medical Image.- Robust 3D Active Shape Model for the Segmentation of the Left Ventricle in MRI.- Kernel-Based Feature Relevance Analysis for ECG Beat Classification.- Spatial-Dependent Similarity Metric Supporting Multi-atlas MRI Segmentation.- Color Detection in Dermoscopy Images Based on Scarce Annotations.- Pattern Recognition and Machine Learning.- Spectral Clustering Using Friendship Path Similarity.- R-Clustering for Egocentric Video Segmentation.- Applying Basic Features from Sentiment Analysis for Automatic Irony Detection.- Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data.- Time-Series Prediction Based on Kernel Adaptive Filtering with Cyclostationary Codebooks.- Latent Topic Encoding for Content-Based Retrieval.- Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise.- Binary and Multi-class Parkinsonian Disorders Classification Using Support Vector Machines.- Peripheral Nerve Segmentation Using Speckle Removal and Bayesian Shape Models.- Measuring Scene Detection Performance.- Threshold of Graph-Based Volumetric Segmentation.- Brain Neural Data Analysis with Feature Space Defined by Descriptive Statistics.- Extremely Overlapping Vehicle Counting.- Sentence Clustering Using Continuous Vector Space Representation.- Online Learning of Stochastic Bi-automaton to Model Dialogues.- Single-Channel Separation Between Stationary and Non-stationary Signals Using Relevant Information.- Computer Vision.- A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15).- Escritoire: A Multi-touch Desk
Summary
This book constitutes the proceedings of the 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015, held in Santiage de Compostela, Spain, in June 2015.
The 83 papers presented in this volume were carefully reviewed and selected from 141 submissions. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Applications; Medical Image; Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; and Applications
