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

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.

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

Implementation of our paper "A Hybrid Deep Feature Selection Framework for Emotion Recognition from Human Speeches" [Multimedia Tools and Applications, Springer]

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!