CIS 782 - Pattern Recognition and Applications

Institution:

New Jersey Institute of Technology

Subject:

Description:

Prerequisite: CIS 610. Study of recent advances in development of (statistical and syntactic) pattern algorithm, approximation, and estimation techniques. Topics include statistical estimation theory, classifier design, parameter estimation and unsupervised learning, bias vs. variance, nonparametric techniques, linear discriminant functions, tree classifiers, feature extraction, and clustering. Additional topics include Support Vector machines (SVM), Bayesian Learning, Hidden Markov Models (HMM), evolutionary computation, neural networks, with applications to signal interpretation, timeseries prediction, and Biometrics. Effective Until: Summer 2006

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.njit.edu/

Phone Number:

(973) 596-3000

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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