CS 6720 - Pattern Recognition

A survey of modern methods for computer recognition of patterns in varied applications such as digital images, human speech and sound, and grammar-based sequences. Various approaches are developed, including heuristic search, Fourier analysis, Markov models, template matching, and grammatical inference. Computational aspects and efficiency of different methods and algorithms are emphasized. Students must complete a project using methods developed in the course.

Prerequisites/Corequisites: Prerequisites: CS 4310 and STAT 3640.

Credits: 3 hrs.

Notes: Open to Graduate Students Only.