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Found 8 papers, 1 papers with code
Understanding Neural Network Systems for Image Analysis using Vector Spaces and Inverse Maps
There is strong interest in developing mathematical methods that can be used to understand complex neural networks used in image analysis.
A Review of Machine Learning Methods Applied to Video Analysis Systems
The paper provides a survey of the development of machine-learning techniques for video analysis.
The Importance of the Instantaneous Phase for classification using Convolutional Neural Networks
Large-scale training of Convolutional Neural Networks (CNN) is extremely demanding in terms of computational resources.
Person Detection in Collaborative Group Learning Environments Using Multiple Representations
We introduce the problem of detecting a group of students from classroom videos.
Talking Detection In Collaborative Learning Environments
Our approach uses head detection and projections of the log-magnitude of optical flow vectors to reduce the problem to a simple classification of small projection images without the need for training complex, 3-D activity classification systems.
Fast Hand Detection in Collaborative Learning Environments
The detection results were improved to 81% by using our optimized approach for data augmentation.
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
In the last two decades, unsupervised latent variable models---blind source separation (BSS) especially---have enjoyed a strong reputation for the interpretable features they produce.
A deep neural network to enhance prediction of 1-year mortality using echocardiographic videos of the heart
We show that a large dataset of 723, 754 clinically-acquired echocardiographic videos (~45 million images) linked to longitudinal follow-up data in 27, 028 patients can be used to train a deep neural network to predict 1-year mortality with good accuracy (area under the curve (AUC) in an independent test set = 0. 839).
