Today data acquisition technologies come up with large datasets with millions of samples for
statistical analysis. This creates a tremendous challenge for pattern recognition techniques …

Abstract The “Big Data” era has arisen, driven by the increasing availability of data from
multiple sources such as social media, online transactions, network sensors or mobile …

Image pattern recognition in the field of big data has gained increasing importance and
attention from researchers and practitioners in many domains of science and technology …

The task of multi-view video summarization is to efficiently represent the most significant
information from a set of videos captured for a certain period of time by multiple cameras …

This paper discusses methods for content-based image retrieval (CBIR) systems based on
relevance feedback according to two active learning paradigms, named greedy and …

Stroke or cerebrovascular accidents are among the three leading causes of death
worldwide. Furthermore, strokes are a major cause of morbidity, hospitalizations, and …

Multiview video summarization plays a crucial role in abstracting essential information form
multiple videos of the same location and time. In this paper, we propose a new approach for …

We present an accurate and fast approach for MR-image segmentation of brain tissues, that
is robust to anatomical variations and takes an average of less than 1min for completion on …

This paper presents the k-Optimum Path Forest (k-OPF) supervised classifier, which is a
natural extension of the OPF classifier. k-OPF is compared to the k-Nearest Neighbors (k …

In content-based image retrieval (CBIR) using feedback-based learning, the user marks the
relevance of returned images and the system learns how to return more relevant images in a …