From number puzzles to sentence completion and even visual challenges, this pattern recognition cognitive test is designed to ...

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

Specific combinations of CT imaging features rather than individual findings alone may improve the accuracy of identifying ...

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 ...

Dr. Emilie Newell from Canada, Dr. Ludwig Krabbe from Germany, Marguerite Christophers from New Zealand, and Mette Berg from Norway have each received the 2023 IPC Classification Recognition Award.

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 ...

The International Paralympic Committee (IPC) have announced the recipients of the 2024 IPC Classification Recognition Awards. Terrie Moore, Chris Hogg, Hilary Beeton, Sandra Titulaer and Raul Reina ...

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 ...

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 ...