Inspired by the bee brain, scientists develop a new AI model that could revolutionize how machines learn, adapt, and perceive ...

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 reason this is important for the fields of blockchain and AI, specifically, is because neuromorphic computers are fundamentally suited for pattern recognition and machine learning algorithms.

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 ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

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.