At present several vectorization approaches are used to transform text documents into a
numerical format. A huge number of features converted from text data from a single …

Binary descriptors have been widely used for real-time image retrieval and correspondence
matching. However, most of the learned descriptors are obtained using a large deep neural …

This article presents methods of collecting and analyzing data from media publications, with
the intent of establishing relations between them and stock market activity. There exists a …

As a result of the pandemic Covid19 and the enforcement of Movement Control Order (MCO)
in Malaysia, it is difficult for the Ministry of Education to explain the selection of courses at the …

The definition of an image's category from a database with huge texture categories needs
massive computation and time cost. Existing texture classification works focus on texture …

Dimensionality reduction of feature vector size plays a vital role in enhancing the text
processing capabilities to reduce the size of the feature vector used in the mining tasks to …

Анотація Предметом досліджень є моделі для класифікації зображень у просторі описів
як множини дескрипторів ключових точок при розпізнаванні візуальних об'єктів у …