Learning on entropy coded data has many benefits. First, it avoids decoding, but also it
allows one to process compact data. However, this type of learning has been overlooked …

Зависимость от компьютерных игр-проблема современных детей и подростков. В
статье описан новый способ борьбы с ней. В рамках целевой аудитории проведён …

Dense micro-block difference (DMD) has achieved good performance in gray texture
representation and classification. However, its performance is not satisfactory when …

In this work, we will use text processing to classify YouTube videos as educational/non-
educational. Many learners will benefit from the diverse educational content on YouTube …

Abstract In recent years, Convolutional Neural Network (CNN) has proven to be one of the
most successful tools for video-based action recognition. As the most popular method for …

Apprendre sur les données codées avec un codeur entropique présente de nombreux
avantages: cela permet d'éviter de décoder tout en ayant des données de taille plus faible à …

Зависимость от компьютерных игр-проблема современных детей и подростков. В
статье описан новый способ борьбы с ней. В рамках целевой аудитории проведён …

When considering instances of distributed systems where visual sensors communicate with
remote predictive models, data traffic is limited to the capacity of communication channels …

Deep learning has allowed for (and incentivised) researchers to look at data volumes and
processing tasks that have previously only been hypothesized. While the first-generation of …