Credits: 3
The goal is to introduce mathematical pattern analysis and recognition. Emphasis is given to parametric and non-parametric statistical pattern recognition methods and clustering with applications to speech, image and video recognition.Cross-listed with CMSC828C. Credit will be only granted for CMSC828C or ENEE633.
Description
Prerequisite: MATH461; or students who have taken courses with comparable content may contact the department; or permission of instructor.
Corequisite: ENEE620; or permission of instructor.
Credit only granted for: ENEE633 or ENEE739Q.
Formerly: ENEE739Q.
Semesters Offered
Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Spring 2025, Spring 2026
Testudo