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. 26 | Hastie, 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 III | A3 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 | ||
15 | Parsing Graphs | Paper 3 | **Class Monday and TUESDAY** | |
16 | (Exams: no classes) | Proj. 3 due | Exam (Proj. 3 presentations): Mon. May 10@1:30-4pm (Zoom) |