Classical multidimensional scaling (CMDS) is a technique that aims to em...
The identification of interesting substructures within jets is an import...
The classical sparse coding model represents visual stimuli as a linear
...
The unlabeled sensing problem is to recover an unknown signal from permu...
Wasserstein dictionary learning is an unsupervised approach to learning ...
The placement of art in public spaces can have a significant impact on w...
This paper considers the problem of measure estimation under the barycen...
The unlabeled sensing problem is to solve a noisy linear system of equat...
Sparse manifold learning algorithms combine techniques in manifold learn...
Recent approaches in the theoretical analysis of model-based deep learni...
A method for active learning of hyperspectral images (HSI) is proposed, ...
We introduce a novel clustering algorithm for data sampled from a union ...
The sparse representation model has been successfully utilized in a numb...
This paper considers theoretical analysis of recovering a low rank matri...
The Euclidean distance geometry problem arises in a wide variety of
appl...