Search Results - "pattern recognition"

Pattern recognition : introduction, features, classifiers and principles / by Beyerer, Jürgen, Richter, Matthias, 1948-, Nagel, Matthias (Computer scientist)

Subjects: “…Pattern recognition systems.…”
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Pattern recognition / by Theodoridis, Sergios

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Introduction to pattern recognition : a MATLAB approach /

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Neural networks for pattern recognition / by Bishop, Christopher M.

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Neural networks for pattern recognition / by Bishop, Christopher M.

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Computational Intelligence for Pattern Recognition

Table of Contents: “…Robust Constrained Concept Factorization -- An Automatic Cycling Performance Measurement System Based on ANFIS -- Fuzzy Classifiers Learned Through SVMs With Application to Specific Object Detection and Shape Extraction Using an RGB-D Camera -- Low Cost Parkinson's Disease Early Detection and Classification Based on Voice and Electromyography Signal -- Particle Swarm Optimization Based HMM Parameter Estimation for Spectrum Sensing in Cognitive Radio System -- Improving Sparse Representation-Based Classification Using Local Principal Component Analysis -- Fuzzy Choquet Integration of Deep Convolutional Neural Networks for Remote Sensing -- Computational Intelligence for Pattern Recognition in EEG Signals -- Neural Network Based Physical Disorder Recognition for Elderly Health Care -- Deep Neural Networks for Structured Data -- Recognizing Subtle Micro-Facial Expressions Using Fuzzy Histogram of Optical Flow Orientations and Feature Selection Methods -- Granular Computing Techniques for Bioinformatics Pattern Recognition Problems in Non-Metric Spaces -- Multi-Classifier-Systems: Architectures, Algorithms and Applications -- Learning Label Dependency and Label Preference Relations in Graded Multi-Label Classification -- Improved Deep Neural Network Object Tracking System for Applications in Home Robotics.…”
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Introduction to statistical pattern recognition / by Fukunaga, Keinosuke

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Pattern recognition and machine learning / by Bishop, Christopher M.

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Pattern Recognition in Speech and Language Processing /

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Advances in Feature Selection for Data and Pattern Recognition

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Granular Neural Networks, Pattern Recognition and Bioinformatics by Pal, Sankar K., Ray, Shubhra S., Ganivada, Avatharam

Table of Contents: “…Introduction to Granular Computing, Pattern Recognition and Data Mining -- Classification using Fuzzy Rough Granular Neural Networks -- Clustering using Fuzzy Rough Granular Self-Organizing Map -- Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection.…”
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Fundamentals of Image, Audio, and Video Processing Using MATLAB : With Applications to Pattern Recognition. by Parekh, Ranjan

Table of Contents: “…2.8 Musical Instrument Digital Interface (MIDI) -- 2.9 Temporal Filters -- 2.10 Spectral Filters -- 2.11 Audio Processing Using Simulink -- Review Questions -- 3 Video Processing -- 3.1 Introduction -- 3.2 Toolboxes and Functions -- 3.2.1 Basic MATLAB (BM) Functions -- 3.2.2 Computer Vision System Toolbox (CVST) Functions -- 3.3 Video Input Output and Playback -- 3.4 Processing Video Frames -- 3.5 Video Color Spaces -- 3.6 Object Detection -- 3.6.1 Blob Detector -- 3.6.2 Foreground Detector -- 3.6.3 People Detector -- 3.6.4 Face Detector -- 3.6.5 Optical Character Recognition (OCR) -- 3.7 Motion Tracking -- 3.7.1 Histogram Based Tracker -- 3.7.2 Optical Flow -- 3.7.3 Point Tracker -- 3.7.4 Kalman Filter -- 3.7.5 Block Matcher -- 3.8 Video Processing Using Simulink -- Review Questions -- 4 Pattern Recognition -- 4.1 Introduction -- 4.2 Toolboxes and Functions -- 4.2.1 Computer Vision System Toolbox (CVST) -- 4.2.2 Statistics and Machine Learning Toolbox (SMLT) -- 4.2.3 Neural Network Toolbox (NNT) -- 4.3 Data Acquisition -- 4.4 Pre-processing -- 4.5 Feature Extraction -- 4.5.1 Minimum Eigenvalue Method -- 4.5.2 Harris Corner Detector -- 4.5.3 FAST Algorithm -- 4.5.4 MSER Algorithm -- 4.5.5 SURF Algorithm -- 4.5.6 KAZE Algorithm -- 4.5.7 BRISK Algorithm -- 4.5.8 LBP Algorithm -- 4.5.9 HOG Algorithm -- 4.6 Clustering -- 4.6.1 Similarity Metrics -- 4.6.2 k-means Clustering -- 4.6.3 Hierarchical Clustering -- 4.6.4 GMM-Based Clustering -- 4.7 Classification -- 4.7.1 k-NN Classifiers -- 4.7.2 Artificial Neural Network (ANN) classifiers -- 4.7.3 Decision Tree Classifiers -- 4.7.4 Discriminant Analysis Classifiers -- 4.7.5 Naive Bayes Classifiers -- 4.7.6 Support Vector Machine (SVM) Classifiers -- 4.7.7 Classification Learner App -- 4.8 Performance Evaluation -- Review Questions -- Function Summary -- References -- Index.…”
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Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016)

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Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

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Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

Table of Contents: “…Recognition of Fuzzy or Incompletely Described Objects -- Evaluating and Comparing Classifiers: Review, Somem Recommendations and Limitations -- Multi-aspect Assessment and Classification of Porous Materials Designed for Tissue Engineering -- Enhancing English-Japanese Translation Using Syntactic Pattern Recognition Methods -- Novel Results on Random Walk-Jump Chains that Possess Tree-based Transitions -- Travel Time Prediction for Trams in Warsaw -- Diagnostic Rule Extraction Using the Dempster-Shafer Theory Extended for Fuzzy Focal Elements -- Gait Recognition Using Motion Trajectory Analysis -- Methodology of the Construction of a GDPLL(k) Grammar-based Syntactic Pattern Recognition System -- Determining of an Estimate of the Equivalence Relation on the Basis of Pairwise Comparisons -- Classification of Body Regions based on MRI Log Files -- Semi-automatic Segmentation of Scattered and Distributed Objects -- Playback Attack Detection: The Search for the Ultimate Set of Antispoof Features -- AVision-Based Method for Automatic Crack Detection in Railway Sleepers -- Towards Privacy-aware Keyboards.…”
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Recent Advances in Ensembles for Feature Selection by Bolón-Canedo, Verónica, Alonso-Betanzos, Amparo

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Signal Analysis of Hindustani Classical Music by Datta, Asoke Kumar, Solanki, Sandeep Singh, Sengupta, Ranjan, Chakraborty, Soubhik, Mahto, Kartik, Patranabis, Anirban

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Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic by Gonzalez, Claudia I., Melin, Patricia, Castro, Juan R., Castillo, Oscar

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Machine Learning Paradigms: Theory and Application

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Fundamentals of image, audio, and video processing using MATLAB : with applications to pattern recognition / by Parekh, Ranjan

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