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 versions prior to Fall 2000.

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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: 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.
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.
Semester Alias:
CPS 902
Effective Dates:
US99 - Open