Skip to main content.

Courses

Subjects

Search Results

Course Prefix: CSE   Course #: 455   Keywords: null   showing 1 to 1 of ~1

CSE 455LEC Introduction to Pattern Recognition

View Schedule CSE 455LEC Introduction to Pattern Recognition Lecture

Foundations of pattern recognition algorithms and machines, including statistical and structural methods. Data structures for pattern representation, feature discovery and selection, classification vs. description, parametric and non-parametric classification, supervised and unsupervised learning, use of contextual evidence, clustering, recognition with strings, and small, sample-size problems.

Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall, Spring
Prerequisites: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and EAS 305 or STA 301 or MTH 411; Approved Computer Science, Computer Engineering, Bioinformatics/CS Majors Only.

Course Search

date_range Schedule: {{course.abbr}} {{course.num}} {{course.title}} close
 
No schedule for this course in the {{semester.toUpperCase()}} semester.
Schedule for {{course.abbr}} {{course.num}} {{course.title}}
Course # Type Title Section Where When Seats Left
{{c._id}} << >> {{c.catalog.type_pk}} {{c.alt_title}} {{c.catalog.description}} {{c.section}} {{c.room}} MTWRFSaSu {{getTime(c.when[0].dates.start,false)}}-{{getTime(c.when[0].dates.end,true)}} {{getSeatsLeft(c.enrollment)}}
 
Published: Jul 23, 2019 14:26:04