Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
A new AI-powered grape ripeness detector called RipenAI aims to help winemakers harvest at the perfect time using optical ...
Abstract: Deep learning methods are increasingly being applied to mobile applications for word recognition and image captioning, offering innovative solutions to complex tasks. In this study, models ...