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 ...

ABSTRACT There are a variety of multivariate statistical methods for analyzing the relations between two datasets. Two commonly used methods are canonical correlation analysis (CCA) and maximum ...

Finding patterns behind seemingly random events is the signature of a recent trio of research studies coming from the statistical physics group in Boston University's Department of Physics. Boston ...

Pattern analysis makes for better image processing. Images on the right were compressed with the conventional JPEG format. Images on the left were reconstructed with a new technique that analyses ...

Once a machine-vision system has acquired an image, a software image-analysis algorithm, known as a pattern-finding tool (PFT), must determine whether the image contains a particular pattern. While ...

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 ...

“Genius is vision, often involving the gift of finding patterns where others see nothing but a chance collection of objects (Andersen, 2013).” My grandkids loved to play “I Spy.” It is a game we often ...