Looking for sparsity is nowadays crucial to speed up the training of
lar...
Recently, convolutional auto-encoders (CAE) were introduced for image co...
In this paper we present a new approach to solve semi-supervised
classif...
Projected gradient descent has been proved efficient in many optimizatio...
This paper deals with supervised classification and feature selection in...
This paper deals with unsupervised clustering with feature selection. Th...
In this paper, we study the effect of different regularizers and their
i...
This paper deals with sparse feature selection and grouping for
classifi...
The k-nearest neighbors (k-NN) classification rule has proven extremely
...
The recent improvements of graphics processing units (GPU) offer to the
...