BP Algorithm-Based Optimal L1 Norm Solver
Program and article demonstrating implementation of optimal L1 norm computation using Backpropagation algorithm with neural network optimization techniques
Simulation Programs from Regular Practice on Artificial Immune Systems
This collection contains functional simulation programs developed during research on artificial immune systems, which resulted in a published paper. These implementations provide practical algorithms and modeling approaches particularly useful for graduate students (Masters/PhD candidates) encountering immune-inspired computing in their research.
Algorithm for License Plate Recognition Using BP Neural Network
This article introduces a license plate recognition algorithm based on Backpropagation Neural Network, presenting experimental results with implementation details including network architecture and image processing techniques.
AdaBoost-Based Face Recognition System
A comprehensive face recognition program implementing the AdaBoost algorithm, including technical documentation and user manual with code implementation details
Kernel-Based Correlation Filter Tracking Method
A cutting-edge kernel-based correlation filter tracking approach from the latest TPMAI publication, featuring exceptionally fast processing speeds with enhanced algorithm implementation details.
Comprehensive Collection of Resources Based on the Mean Shift Algorithm
This represents a meticulously curated compilation of Mean Shift algorithm resources assembled over an extended period. The collection includes detailed Word documents, comprehensive PPT presentations, MATLAB implementations of Mean Shift-based object tracking algorithms, and relevant research articles. The repository features practical code implementations demonstrating core Mean Shift operations such as kernel density estimation, mode seeking procedures, and trajectory optimization for visual tracking applications.
Algorithm Implementation of Fast and Robust Multi-Frame Super-Resolution with BTV and Enhanced BTV Techniques
Implementation of algorithms from the Fast and Robust Multi-Frame Super-Resolution paper, featuring BTV regularization and its enhanced variant for super-resolution reconstruction, including code-level implementation details and algorithmic improvements.