Classify Data Using the Classification Learner App - Video - MATLAB

#artificialintelligence

Classification Learner lets you perform common supervised learning tasks such as interactively exploring your data, selecting features, specifying validation schemes, training models, and assessing results. You can export classification models to the MATLAB workspace, or generate MATLAB code to integrate models into applications.



Video Action Classification Using PredNet

arXiv.org Machine Learning

In this paper, we evaluate the PredNet \cite{lotter16} on the Something-something action data set \cite{farzaneh18} and implement the PredNet+, which we train in a multi-task fashion to output both classification labels and predictions. Our idea is to condition video prediction and action classification on each other. We discuss a series of observations about the PredNet and conclude that it does not completely follow the principles of the predictive coding framework.


Adversarial Perturbations Against Real-Time Video Classification Systems

arXiv.org Machine Learning

Recent research has demonstrated the brittleness of machine learning systems to adversarial perturbations. However, the studies have been mostly limited to perturbations on images and more generally, classification that does not deal with temporally varying inputs. In this paper we ask "Are adversarial perturbations possible in real-time video classification systems and if so, what properties must they satisfy?" Such systems find application in surveillance applications, smart vehicles, and smart elderly care and thus, misclassification could be particularly harmful (e.g., a mishap at an elderly care facility may be missed). We show that accounting for temporal structure is key to generating adversarial examples in such systems. We exploit recent advances in generative adversarial network (GAN) architectures to account for temporal correlations and generate adversarial samples that can cause misclassification rates of over 80% for targeted activities. More importantly, the samples also leave other activities largely unaffected making them extremely stealthy. Finally, we also surprisingly find that in many scenarios, the same perturbation can be applied to every frame in a video clip that makes the adversary's ability to achieve misclassification relatively easy.


Classify Data Using the Classification Learner App - MATLAB Video

#artificialintelligence

Classification Learner lets you perform common supervised learning tasks such as interactively exploring your data, selecting features, specifying validation schemes, training models, and assessing results. You can export classification models to the MATLAB workspace, or generate MATLAB code to integrate models into applications. Choose your country to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .