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IEEE6mon
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]
In this paper, a new genetic programming-based feature learning approach is developed to automatically select and combine five existing well-developed descriptors to extract high-level features for ...
GitHub8y
A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.
The program applies Transfer Learning to this existing model and re-trains it to classify a new set of images. This is a generic setup and can be used to classify almost any kind of image. I created a ...
GitHub2y
Bio-image analysis, biostatistics, programming and machine learning for computational biology
You can browse the material online for taking a quick look. If you want to do the exercises, it is recommended to download the whole repository, e.g. by hitting the ...
IEEE5y
An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier]
In this paper, a new genetic programming-based feature learning approach is developed to automatically select and combine five existing well-developed descriptors to extract high-level features for ...