The process involves using machine learning techniques, such as neural networks or decision trees, to train algorithms to recognize patterns and categorize them accordingly. Pattern recognition in ...

The Document and Pattern Recognition Lab started in Summer 2007. We research pattern recognition and machine learning techniques for extracting and searching information in documents and videos. Our ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...

Researchers led by the University of Cincinnati’s Anna Kruyer and the University of Houston’s Demetrio Labate have published ...

His research interests include computer vision, image processing, pattern recognition, machine learning, and evolutionary computing. His research has been funded by NSF, NASA, ONR, NIJ, NDoT, Ford ...

The need for robust cybersecurity measures has never been more critical. With the rise of sophisticated data signals and ...

Gesture recognition and machine learning are getting a lot of air time these days, as people understand them more and begin to develop methods to implement them on many different platforms.