CSCI-737-01: Pattern Recognition (Spring 2019)


  RIT Department of Computer Science

CSCI-737-01 Pattern Recognition (Spring 2019)

Instructor Prof. Richard Zanibbi (Contact info)
Office Hrs Tuesday 3:15-4:45pm, Thursday 3:15-3:50pm, Friday 2-3pm (GOL 3551)
Lectures Tuesday and Thursday, 2:00pm - 3:15pm (GOL 1610)

News --- Schedule --- Syllabus --- Resources --- MyCourses

News


Week 15

  • Please complete the online course evaluation. In particular, your indications of what you felt worked in the course, and what could be profitably changed or omitted would be beneficial for future students in the course.
  • Extension the final (*): Project 2 is due Monday (April 29th, 11:59pm). Monday is still the last day to submit the project!
  • Grading Update:
    • There will not be a fifth assignment; your assignment grade will be determined by the first four assignments.
    • There will not be a third paper presentation; your presentations grade will be determined by your first two presentations.
    • Given the extension, there will only be two projects for the course this time; the weight for projects will reduce to 40%, and the exam will increase to 20%.
  • Final Exam (May 3rd, 1:30pm-4pm, in our regular classroom):
    • Groups will present their systems for project 2, and submit an abstract before the exam. The abstract and slides will be submitted through a dropbox. Guidelines will be available before class on Thursday.
  • Lecture slides will be up Wednesday, and I will have Project 1 graded before class on Thursday.
  • Office Hours this Week: I will hold regular office hours Tuesday, Extended office hours Thursday (3:15-5pm), but no office hours on Friday.
  • Office Hours During Exam Week: I will hold office hours on Monday April 29th 1pm-3pm, and Wednesday May 1 from 10am-noon. Please email if you have other questions, or need to arrange another time.

Week 14

  • Assignment 2 is due Tuesday (deadline corrected on the write-up).
  • Project 2 is due next Tuesday (April 23rd).

Week 13

  • Assignment 4 is due Tuesday April 16th at 11:59pm.
  • Project 2 is due Tuesday April 23rd at 11:59pm.
  • Next week Prof. Zanibbi is away; lectures on parsing mathematical notation will be given by Mahshad Madhavi (Imaging Science PhD student)

Week 12

  • Extension++: Project 1 is due Wednesday, April 3rd at 11:59pm.
  • This week we will finish segmentation and move on to parsing.
  • Read the paper on the Single Shot Detector (SSD) deep neural net-based object detector (i.e., segmenter).

Week 11

  • This week we will have our presentations on papers related to segmentation.
  • Extension: Project 1 is now due Tuesday, April 2nd at 11:59pm.

Week 10

  • Paper Presentations Next Week:
    • Tuesday: Presentations Part I by Groups 1, 2, 7, 9, 10 (Math Symbol Seg.)
    • Thursday: Presentations Part II by Groups 3, 4, 5, 6, 8 (TPAMI)
  • Project 1 is due March 31st.
  • Papers for presentation on segmentation next week will be posted by Wednesday evening. Groups are the same as for the classification paper presentations (if there are any issues, let the instructor know). Groups that presented TPAMI papers last time will present application papers, and vice-versa.
  • Please read the paper by Casey and Lecolinet on character segmentation posted on MyCourses under 'Reading.'
  • The course schedule has been updated.

Week 8

  • Project 1 has been released, and is due March 31st.
  • Next pattern recognition task: Segmentation.
  • Please read the paper by Casey and Lecolinet on character segmentation posted on MyCourses under 'Reading.'

Week 7

  • Extension: Assignment 3 is now due on Sunday at 11:59pm.
  • Read the Criminisi survey on Random Forests, Sections 2 and 3.

Week 6

  • **2nd Extension: Assignment 3 is due Thursday, Feb. 28th at 11:59pm.
  • Paper Presentations this week (each 12 minutes, including questions):
    • Tuesday: Presentations by Groups 1, 2, 7, 9, 10 (TPAMI)
    • Thursday: Presentations by Groups 3, 4, 5, 6, 8 (Document Rec.)
  • Next week, we will finish up classification.

Week 5

  • Assignment 3 is due Sunday, Feb. 24th at 11:59pm.
  • Papers: Papers on Classification for presentation on Tuesday have been posted; papers for presentation will be up by next Friday.
  • Presentations next week: Tuesday: Groups 1, 2, 7, 9, 10. Thursday: Groups 3, 4, 5, 6, 8. The rubric that will be used to grade presentations is available on MyCourses, under Course Work -> Presentations. Presentations will be 12 minutes long, including questions. Aim to present for 8-9 minutes, and number your slides.

Week 4

  • Assignment 3 will be assigned later this week (due to the delays from the snow last week).

Week 3

  • Extension: Assignment 2 is due Monday (Feb. 4th, 11:59pm).
  • This week we will talk about Bayesian Decision Theory, and Dimensionality Reduction.

Week 2

  • Assignment 1 is due this Sunday (Jan. 27th, 11:59pm).
  • Read the Duin et al. reading on MyCourses (from the beginning of Ch. 2 to Section 2.2).

Week 1

  • Assignment 1 will be posted by Sunday evening, and will be due the following Sunday (Jan. 27th, 11:59pm).
  • Reading: look at Hastie et al., Chs. 1, 2.1-2.3 (available through link on MyCourses, under "Readings."
  • Note: the course syllabus and schedule are available (links above). Please note that some of the topics may shift/change during the semester.
  • Slides, assignments, and readings will be posted on MyCourses.