Road Recognition in Images Using C Clustering Method
Implementation of road identification in images through C clustering technique from pattern recognition, with algorithm optimization and feature extraction capabilities.
Image Invariant Moments and Pattern Recognition for Aircraft Type Matching
Constructing moment features for 3D aircraft images using invariant moments and pattern recognition techniques, then performing image fusion through the improved D-S evidence theory absorption method to achieve aircraft model matching with enhanced recognition accuracy.
MATLAB Code Implementation for Pattern Recognition
Pattern Recognition using Linear Classifier and Fisher Linear Discriminant: Classifying Female and Male samples with Training Sets test1 and test2 as Testing Datasets
Pattern Recognition Classifiers: Fisher and Bayes Classifiers with MATLAB Implementation
MATLAB implementation of pattern recognition classifiers including Fisher and Bayes classifiers for gender classification tasks, featuring statistical analysis and probability-based decision making
Complete Graphical Demonstration of License Plate Detection, Location, Character Segmentation, and Recognition
Simply input a vehicle image to observe a comprehensive graphical demonstration covering license plate detection, plate localization, character segmentation, and character recognition. This intuitive system provides complete MATLAB source code with implementations using image processing algorithms (edge detection, morphological operations) and pattern recognition techniques, serving as an excellent programming reference for learning computer vision and machine learning concepts.
MATLAB Code for ROC Curve and Score Distribution Plotting
MATLAB-implemented code for generating ROC curves and score distributions with built-in performance metrics calculation, suitable for pattern recognition researchers and machine learning practitioners.
Pattern Recognition with LLE and SVM Algorithms
Well-organized pattern recognition source code implementing LLE (Locally Linear Embedding) and SVM (Support Vector Machine) methods, including SVMFWD functionality - thoroughly tested and error-free implementation ready for download
Support Vector Machine Toolbox (MATLAB)
This MATLAB toolbox provides comprehensive support vector machine (SVM) functionality for pattern classification, pattern recognition, and machine learning applications, featuring customizable kernel functions and optimization algorithms for robust model training.
One-vs-One Multiclass Classifier in Pattern Recognition
One-vs-One Multiclass Classifier in Pattern Recognition, also known as Multiclass SVM (Support Vector Machine), with implementation insights
MATLAB Code Implementation for Support Vector Machines
MATLAB source code for Support Vector Machines (SVM) with implementation for pattern recognition and nonlinear problem solving. Ideal for beginners and practitioners seeking practical SVM applications without deep theoretical dive, featuring detailed algorithm explanations and key function descriptions.