USC Schedule of Classes

Spring 2014

Computer Science 559:

Mathematical Pattern Recognition (3.0 units)

Distribution free classification, discriminant functions, training algorithms; statistical classification, parametric and nonparametric techniques, potential functions; non-supervised learning. Prerequisites: EE 464 or EE 503. Corequisite: EE 441.
  • Prerequisite: 1 from (EE 464 or EE 503)
  • Corequisite: EE 441
  • Crosslist: This course is offered by the EE department but may qualify for major credit in CSCI. To register, enroll in EE 559.
  • Note: Prerequisite taken at USC or placement exam required.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
30728D034Lecture3:30-4:50pmMon, Wed4 of 30Keith JenkinsDEN@ViterbiPDF (101431 KB)notefeesession dates
30886R034Discussion5:00-5:50pmThursday3 of 20DEN@Viterbisession dates
30730R048Lecture3:30-4:50pmMon, Wed38 of 60Keith JenkinsOHE132PDF (101431 KB)feesession dates
30885R048Discussion5:00-5:50pmThursday34 of 40RTH105session dates
Information accurate as of October 6, 2014 8:01 am.