In this paper, we propose a simultaneous feature and dictionary learning (SFDL) method for
image set-based face recognition, where each training and testing example contains a set of …

In this paper, we propose the discriminative multiple canonical correlation analysis
(DMCCA) for multimodal information analysis and fusion. DMCCA is capable of extracting …

Multi-view data with each view corresponding to a type of feature set are common in real
world. Usually, previous multi-view learning methods assume complete views. However …

Riemannian manifolds have been widely employed for video representations in visual
classification tasks including video-based face recognition. The success mainly derives from …

In this paper, we aim to construct a deep neural network which embeds high dimensional
symmetric positive definite (SPD) matrices into a more discriminative low dimensional SPD …

We propose a novel image set classification technique using linear regression models.
Downsampled gallery image sets are interpreted as subspaces of a high dimensional space …

Fish Species classification is of great utility to marine biologists for the understanding of
underwater ecology and fish behavior as well as to keep a log of endangered species …

Recent advances in deep learning have resulted in human-level performances on popular
unconstrained face datasets including Labeled Faces in the Wild and YouTube Faces. To …

For face recognition with image sets, while most existing works mainly focus on building
robust set models with hand-crafted feature, it remains a research gap to learn better image …

Image-set classification has recently generated great popularity due to its widespread
applications in computer vision. The great challenges arise from effectively and efficiently …