MATLAB Optimization-Based Denoising Autoencoders
Budget: $30 – $250 USD
I need assistance modifying existing MATLAB code to implement an Optimization-Based Denoising Autoencoders (ODAE) approach. The primary focus is on improving the accuracy of noise reduction.
Key tasks include:
- Coding ODAE + Cuckoo Search Optimization (CSO)
- Extending to ODAE + CSO + Conjugate Gradient (CG) using Fletcher-Reeves method
- Developing ODAE + CG only
- Integrating with existing Non-Local Means (NLM) algorithm
Ideal Skills:
- Proficiency in MATLAB
- Strong background in optimization algorithms
- Experience with denoising autoencoders and neural networks
I have documented parameters for the noise reduction mechanism.
Key tasks include:
- Coding ODAE + Cuckoo Search Optimization (CSO)
- Extending to ODAE + CSO + Conjugate Gradient (CG) using Fletcher-Reeves method
- Developing ODAE + CG only
- Integrating with existing Non-Local Means (NLM) algorithm
Ideal Skills:
- Proficiency in MATLAB
- Strong background in optimization algorithms
- Experience with denoising autoencoders and neural networks
I have documented parameters for the noise reduction mechanism.