In the last few years, research in pattern recognition has seen a remarkable shift towards hybrid models that integrate classical statistical methods with state-of-the-art deep learning techniques.

Rama Chellapa's work in computer vision, pattern recognition, and machine learning has a range of applications—including medicine ...

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.

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 ...

Pattern matching fast LFD (PM-FLFD) and machine learning fast LFD (ML-FLFD) are two different approaches for selecting FLFD simulation regions, as shown in Figure 2.

Machine learning excels at visual pattern recognition, opening up many potential applications in physical inspection and maintenance of physical assets across an entire supply chain network.

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...