CS 655 Pattern Recognition

  • Instructor: Prof. Sung-Hyuk Cha
    • Email: scha@pace.edu
    • Tel: (212) 346-1253
    • Office: 163 William St. 2nd floor rm 228
    • Office Hours: Tuesday & Thursday 12:50pm - 2:20pm & 4:30pm - 5:30pm


  • CRN: 72445

  • Meeting:
    • Time: Tuesday 6:10~9:00 P.M., Fall 2017
    • Place: Rm 1410 at 163 Williams st.

  • Textbook: Handouts (lecture slides and related articles) will be distributed on the http://blackboard.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 Reading assignments
    1 (9/12) Introduction
    2 (9/19) Decision Trees
    3 (9/26) Clustering I
    4 (10/3) Clustering II
    5 (10/10) Artificial Neural Networks
    6 (10/17) Genetic Algorithms
    7 (10/24) Biometrics
    8 (10/31) Proximity measures
    9 (11/7) Voting methods & research proposal
    10 (11/14) Image Processing
    11 (11/21) Thanks giving
    12 (11/28) Feature Extraction
    13 (12/5) Feature Selection
    14 (12/12) Project preparation
    15 (12/19) Final Presentation

  • Evaluation:
    • Attendance & participation (20%):
    • Homeworks (20%):
    • Research Project (60%):
      • progress report and presentation (20%)
      • final presentation (20%)
      • final report (20%)

  • 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 students with disabilities. To request a reasonable accommodation for a qualified disability a student with a disability must self-identify and register with the Office 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 except the Office of Disability Services. Moreover, no one, including faculty, is authorized to contact the Office of Disability Services on behalf of a student. For further information, please see Resources for Students with Disabilities at www.pace.edu/counseling/resources-and-support-services-for-students-with-disabilities.
  • Academic Integrity: (From the Student Handbook) Students are required to be honest and ethical in satisfying their academic assignments and requirements. Academic integrity requires that, except as may be authorized by the instructor, a student must demonstrate independent intellectual and academic achievements. Therefore, when a student uses or relies upon an idea or material obtained from another source, proper credit or attribution must be given. A failure to give credit or attribution to ideas or material obtained from an outside source is plagiarism. Plagiarism is strictly forbidden. Every student is responsible for giving the proper credit or attribution for any quotation, idea, data, or other material obtained from another source that is presented (whether orally or in writing) in the student’s papers, reports, submissions, examinations, presentations and the like. Individual schools and programs may have adopted additional standards of academic integrity. Therefore, students are responsible for familiarizing themselves with the academic integrity policies of the University as well as of the individual 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 such as, but not limited to, a reduction in the grade for the assignment or the course, a failing grade in the assignment or the course, suspension and/or dismissal from the University.