Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

Feature selection (FS) is an important data processing method in pattern recognition and
data mining. Due to not considering characteristics of the FS problem itself, traditional …

Abstract Knowledge discovery for data streaming requires online feature selection to reduce
the complexity of real-world datasets and significantly improve the learning process. This is …

In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …

The global installed capacity of floating offshore wind turbines is projected to increase by at
least 100 times over the next decades. Station-kee** of floating offshore renewable …

Obtaining comprehensible classification rules may be extremely important in many real
applications such as data-driven decision-making and classification tasks. Decision-tree …

This paper deals with supervised classification of multivariate time series. In particular, the
goal is to propose a filter method to select a subset of time series. Consequently, we adopt …

It is generally agreed that the selection of an appropriate set of features is a fundamental
process in the development of any pattern recognition system. Its purpose is to identify the …

Abstract Handwritten Text Recognition (HTR) in free-layout pages is a challenging image
understanding task that can provide a relevant boost to the digitization of handwritten …