- Instructor: Prof.
Sung-Hyuk Cha
- Email: scha@pace.edu
- Office: Office: 15 Beekman st. rm 1119
-
Office Hours:
- Tuesday 4:10pm ~ 5:55pm
- Wednesday 4:10pm ~ 5:55pm
- Thursday 4:25pm ~ 5:55pm
- CRN: 71776
- Meeting:
- Time: Tuesday 6:10~9:00 P.M., Fall 2024
- Place:
15BK 1009
- Textbook:
Handouts (lecture slides and related articles) will be distributed on the http://classes.pace.edu.
Recommended book:
- Description:
Pattern Recognition techniques are useful in many applications of
computer science and information systems, such as information retrieval,
data
mining, artificial intelligence and image processing. This course is
an introduction to the foundation of pattern recognition
algorithms.
Topics to be studied: data structures for pattern representation,
feature extraction and selection, parametric and non-parametric
classification, supervised and non-supervised learning, clustering,
decision trees, nearest neighbor, artificial neural networks, generic algorithm,
and hidden Markov models. Applications of
various classification techniques will be demonstrated by several
on-going handwriting, biometrics, and other projects.
- Schedule: (tentative)
| Week |
Topics |
| 1 (9/10) |
Decision tree and entropy |
| 2 (9/17) |
Hierarchical Clustering |
| 3 (9/24) |
Ensemble methods |
| 4 (10/1) |
Factor analysis |
| 5 (10/8) |
Linear Regression |
| 6 (10/15) |
Linear Classifiers |
| 7 (10/22) |
Artificial Neural Networks |
| 8 (10/29) |
Genetic Algorithms |
| 9 (11/5) |
Research proposal due
|
| 10 (11/12) |
Proximity Measures |
| 11 (11/19) |
Self Organizing Map (SOM) |
| 12 (11/26) |
Thanksgiving week |
| 13 (12/3) |
Tree based Regression |
| 14 (12/10) |
Final Exam |
| 15 (12/17) |
SARD 2024 & Final Presentation |
- Evaluation:
- Attendance & participation (25%):
- Homeworks (25%):
- Research Project (25%):
- progress report and presentation (5%)
- final presentation (10%)
- final report (10%)
- Final Exam (25%):
- Accommodations for Students with Disabilities
The University's commitment to equal educational opportunities for students with disabilities includes providing reasonable accommodations for the needs of stud ents with disabilities. To request a reasonable accommodation for a qualified di sability a student with a disability must self-identify and register with the Of fice of Disability Services for his or her campus. No one, including faculty, is authorized to evaluate the need for or grant a request for an accommodation exc ept the Office of Disability Services. Moreover, no one, including faculty, is a uthorized to contact the Office of Disability Services on behalf of a student. F or further information, please see Resources for Students with Disabilities at w ww.pace.edu/counseling/resources-and-support-services-for-students-with-disabili ties.
- Academic Integrity: (From the Student Handbook)
Students are required to be honest and ethical in satisfying their academic assi gnments and requirements. Academic integrity requires that, except as may be aut horized by the instructor, a student must demonstrate independent intellectual a nd academic achievements. Therefore, when a student uses or relies upon an idea or material obtained from another source, proper credit or attribution must be g iven. A failure to give credit or attribution to ideas or material obtained from an outside source is plagiarism. Plagiarism is strictly forbidden. Every studen t is responsible for giving the proper credit or attribution for any quotation, idea, data, or other material obtained from another source that is presented (wh ether orally or in writing) in the student’s papers, reports, submissions, exami nations, presentations and the like.
Individual schools and programs may have adopted additional standards of academi c integrity. Therefore, students are responsible for familiarizing themselves wi th the academic integrity policies of the University as well as of the individua l schools and programs in which they are enrolled. A student who fails to comply with the standards of academic integrity is subject to disciplinary actions suc h as, but not limited to, a reduction in the grade for the assignment or the cou rse, a failing grade in the assignment or the course, suspension and/or dismissa l from the University.
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