Hottest Sparse Representation Algorithms
Code implementation from Yi Ma et al.'s PAMI paper on the most popular sparse representation algorithms
Explore MATLAB source code curated for "算法" with clean implementations, documentation, and examples.
Code implementation from Yi Ma et al.'s PAMI paper on the most popular sparse representation algorithms
Complete MATLAB source code for FDTD (Finite-Difference Time-Domain) method with detailed implementation examples and numerical simulation techniques
A practical MATLAB implementation of the Mean Shift algorithm, tested with satisfactory results. Includes discussions on optimization techniques, performance improvements, and real-world applications.
MATLAB implementation of the Demons registration algorithm for image processing, featuring detailed code explanations and practical application examples
Enhanced PSO particle swarm optimization program featuring a novel algorithm that implements fuzzy logic capabilities for improved optimization performance in uncertain environments.
Implementation of the Amorphous Algorithm with Code-Related Explanations
An implementation example of Auxiliary Particle Filter based on Gordon's Tutorial on Particle Filters. This program implements the auxiliary particle filter algorithm from the tutorial, achieving RMS results closely matching those reported in the original paper. The implementation includes proper weight calculation and resampling procedures.
Simulation of CRLB wireless localization algorithm implementation with MATLAB code examples and Kalman filtering techniques - seeking feedback and suggestions from the technical community.
Implementation of face recognition using traditional Principal Component Analysis (PCA) method on Yale Face Database. PCA is a statistical approach based on Karhunen-Loève (K-L) transform, which represents an optimal orthogonal transformation widely used in data compression applications.
A stack-based image segmentation algorithm offering faster performance compared to conventional region growing methods