Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Relational Content-Based Image Retrieval (R-CBIR) - Retrieving images with given relationships among objects
Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly
deep_video_extraction is a powerful repository designed to extract deep feature representations from video inputs using pre-trained models. With support for both visual and aural features from videos. Additionally, you can process audio separately by converting it into spectrograms.
Implementation of our paper "A Hybrid Deep Feature Selection Framework for Emotion Recognition from Human Speeches" [Multimedia Tools and Applications, Springer]
An academic research on otitis media.
SAAK, an alternative for CNN
Clustering Fruits 360 dataset with deep feature extraction
This repository holds an implementation of a binary classifier for the BreakHis image dataset!
Add a description, image, and links to the deep-feature-extraction topic page so that developers can more easily learn about it.
To associate your repository with the deep-feature-extraction topic, visit your repo's landing page and select "manage topics."