Expression Recognition Source Code with Direct PCA and SVM Function Calls
A facial expression recognition source code that directly implements PCA and SVM functions for efficient emotion classification.
AdaBoost Classification Algorithm for Machine Learning
The AdaBoost algorithm is a crucial feature classification method in machine learning, commonly employed for feature selection and feature weighting tasks. In facial expression recognition systems, AdaBoost is frequently utilized to filter multi-scale, multi-orientation high-dimensional Gabor filter response images, implementing an iterative weight adjustment approach that sequentially enhances weak classifiers into a strong ensemble classifier.
Facial Expression Recognition Using K-SVD Dictionary Learning
Implementing facial expression recognition through K-SVD dictionary learning, comparing failure rates between K-SVD and k-nearest neighbors algorithm. This approach involves sparse coding optimization and atom updating techniques for improved classification performance.
Implementation and Practical Applications of K-SVD Algorithm in Facial Expression Recognition
Implementation and case studies of K-SVD algorithm in facial expression recognition, accompanied by illustrative images and technical articles with code implementation insights.
Gabor 2D Filter
Gabor 2D filter implementation for facial expression recognition - highly effective for face recognition applications. Includes filter bank generation, frequency domain implementation, and parameter optimization techniques.
Facial Expression Recognition: MATLAB Implementation with PDF Documentation
Facial Expression Recognition: Complete MATLAB program with detailed PDF documentation. Ideal for beginners learning image processing and machine learning implementation.
Facial Expression Recognition Source Code Utilizing PCA and SVM Functions
Implementation of facial expression recognition leveraging principal component analysis (PCA) and support vector machine (SVM) algorithms with direct function calls.
Facial Expression Recognition Using Compressive Sensing Algorithms
Implementation of Facial Expression Recognition through Compressive Sensing Algorithm with Gabor Feature Extraction and Sparse Reconstruction