Handwritten document recognition and classification constitute a pivotal area in document analysis, interfacing computer vision, machine learning, and pattern recognition. This domain seeks to ...

This study uses computer vision models, which to some extent simulate the initial stages of human visual perception, to help categorize data in large sets of images of artworks by the artist Antoni ...

IJAPR presents original research on the theoretical, experimental and applied aspects of pattern analysis, extraction, classification and clustering. The journal focuses on areas such as feature ...

The hyperpersonalization pattern is defined as using machine learning to develop a profile of each individual, and then having that profile learn and adapt over time for a wide variety of purposes ...

For decades, trading has been a visual game. Human traders stare at charts, looking for familiar shapes and patterns. We are trained to find order in visual chaos. But this is like trying to ...