The algorithm leads to a new classification of inspiration and expiration, ... (2023) Unsupervised classification of plethysmography signals with advanced visual representations. Front. Physiol.

We compare single-trial classification accuracies of all the three algorithms, each applied to detect target images within a rapid serial visual presentation (RSVP, 10 Hz) of images from five ...

We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual recognition ...

A Tracking algorithm based on Bayes classifier is proposed in the paper which uses Color representation as feature descriptor to predict target position with 5 degree of freedom. The covariance matrix ...

Visual representation learning seeks to mimic the human visual system using deep neural networks, ... While deep learning has achieved state-of-the-art results across various vision tasks like ...

Decision Trees: Decision trees provide a visual representation of decision-making processes, which makes them useful for classification and regression applications. These versatile algorithms uncover ...