GMM CNN

GMM-CNN combines Gaussian Mixture Models (GMMs) with Convolutional Neural Networks (CNNs) to improve the analysis of complex image data. Research focuses on using this approach for object detection and segmentation in diverse applications, including medical imaging (e.g., identifying COVID-19 from X-rays and CT scans, analyzing heart rate from facial videos), materials science (detecting defects in magnetic materials), and astrophysics (localizing solar active regions). This technique enhances accuracy and efficiency, particularly when dealing with large datasets or limited labeled training data, by leveraging the descriptive power of GMMs to represent CNN-extracted features for improved classification and prediction.