In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

In recent years, there has been an exponential growth in the number of complex documents
and texts that require a deeper understanding of machine learning methods to be able to …

Feature selection, as a data preprocessing strategy, has been proven to be effective and
efficient in preparing data (especially high-dimensional data) for various data-mining and …

Most existing person re-identification (re-id) methods focus on learning the optimal distance
metrics across camera views. Typically a person's appearance is represented using features …

As one of the fundamental research topics in remote sensing image analysis, hyperspectral
image (HSI) classification has been extensively studied so far. However, how to …

Re-identification of individuals across camera networks with limited or no overlapping fields
of view remains challenging in spite of significant research efforts. In this paper, we propose …

Compared with supervised learning for feature selection, it is much more difficult to select
the discriminative features in unsupervised learning due to the lack of label information …

Metric learning methods, for person re-identification, estimate a scaling for distances in a
vector space that is optimized for picking out observations of the same individual. This paper …

A common assumption in supervised learning is that the input points in the training set follow
the same probability distribution as the input points that will be given in the future test phase …

This paper introduces a new approach to address the person re-identification problem in
cameras with non-overlapping fields of view. Unlike previous approaches that learn …