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Schedule

Course Schedule

Note: this schedule may change during the semester.
Quizzes: weekly on Thursdays, starting in Week 2.
Research Paper Discussions: there will be three paper discussions on-line and in-class during the semester, details TBA.

Wk  Topics Deliverables Notes Readings 
Fundamentals and Classification
1 Overview, Nearest Neighbor Classification
Linear Classification
First Class: Tues, Jan. 26Hastie, Chs. 1, 2.1-2.3
2 Bayesian Decision Theory  

Duin, Ch. 2
3
A1 due
4  Dimensionality Reduction (PCA, LDA)

5
A2 due
No class Tuesday
6 SVMs  Paper 1
Criminisi et al., pp. 86-130
7 Tree Ensembles (e.g., Random Forest)
Segmentation
8 Segmentation, Part I Proj. 1 due
9 Segmentation, Part II
10 Segmentation, Part IIIA3 due
11 Object detection,  Part I
Paper 2
12 Object detection, Part II Proj. 2 due
Parsing
13 Parsing Overview, HMMs, SCFGs No class on Thursday.
14 Parsing Sequences: LSTM/BLSTM A4 due

15Parsing Graphs Paper 3 **Class Monday and TUESDAY**
16 (Exams: no classes) Proj. 3 dueExam (Proj. 3 presentations):
Mon. May 10@1:30-4pm (Zoom)

Department of Computer Science
Rochester Institute of Technology