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 ...

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 ...

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 based on covariance matrix has demonstrates its efficacy for image classification by characterising the pairwise correlation of different channels in convolutional feature maps.

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