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Pattern Recognition and Machine Intelligence

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This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held in Warsaw, Poland, in June/July 2015. The total of 53 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 90 submissions. They were organized in topical sections named: foundations of machine learning; image processing; image retrieval; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications of artificial intelligence.


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-Term Tracking 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 in Breast 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 with e-Pen Input for Capture, Management and Multimodal Interactive Transcription of Handwritten Documents.- Person Enrollment by Face-Gait Fusion.- Homographic Class Template for Logo Localization and Recognition.- Multimodal Object Recognition Using Random Clustering Trees.- Videogrammetry System for Wind Turbine Vibration Monitoring.- Canonical Views for Scene Recognition in Mobile Robotics.- Crater Detection in Multi-ring Basins of Mercury.- Iterative Versus Voting Method to Reach Consensus Given Multiple Correspondences of Two Sets.- Extracting Categories by Hierarchical Clustering Using Global Relational Features.- A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology.- 3D-Guided Multiscale Sliding Window for Pedestrian Detection.- A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios.- Image and Signal Processing.- Fast Simple Linear Iterative Clustering by Early Candidate Cluster Elimination.- Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition.- PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones.- Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes.- Improving Diffusion Tensor Estimation Using Adaptive and Optimized Filtering Based on Local Similarity.- Dimension Reduction of Hyperspectral Image with Rare Event Preserving.- Applications.- Clustering of Strokes from Pen-Based Music Notation: An Experimental Study.- Image Analysis-Based Automatic Detection of Transmission Towers Using Aerial Imagery.- A Sliding Window Framework for Word Spotting Based on Word Attributes.- Combining Statistical and Semantic Knowledge for Sarcasm Detection in Online Dialogues.- Estimating Fuel Consumption from GPS Data.- A Bag-of-phonemes Model for Homeplace Classification of Mandarin Speakers.- A Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation.- Genetic Seam Carving: A Genetic Algorithm Approach for Content-Aware Image Retargeting.- Analysis of Expressiveness of Portuguese Sign Language Speakers.- Automatic Eye Localization; Multi-block LBP vs. Pyramidal LBP Three-Levels Image Decomposition for Eye Visual Appearance Description.- Clinical Evaluation of an Automatic Method for Segmentation and Characterization of the Thoracic Aorta with and Without Aneurysm Patients.- Combined MPEG7 Color Descriptors for Image Classification: Bypassing the Training Phase.- A Multi-platform Graphical Software for Determining Reproductive Parameters in Fishes Using Histological Image Analysis.


Titel: Pattern Recognition and Machine Intelligence
Untertitel: 6th International Conference, PReMI 2015, Warsaw, Poland, June 30 - July 3, 2015, Proceedings
EAN: 9783319199412
Format: E-Book (pdf)
Hersteller: Springer International Publishing
Genre: IT & Internet
Veröffentlichung: 22.06.2015
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 48.36 MB
Anzahl Seiten: 588

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"