Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

CPS 902 Selected Topics in Recognition by Machine

Description:
Advanced topics in pattern recognition and computer vision such as Markov random fields, modeling and recognition of three dimensional objects, and integration of visual modules.
Effective Dates:
FS95 - SS99

CSE 902 Selected Topics in Recognition by Machine

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Reenrollment Information:
A student may earn a maximum of 9 credits in all enrollments for this course.
Recommended Background:
CSE 802 and CSE 803
Restrictions:
Open only to Computer Science or Electrical Engineering majors.
Not open to students with credit in:
CPS 902
Description:
Advanced topics in pattern recognition and computer vision such as Markov random fields, modeling and recognition of three dimensional objects, and integration of visual modules.
Effective Dates:
US99 - Open