Wk | Topics | Deliverables | Notes | Readings |
---|---|---|---|---|
Classification | ||||
1 | Overview, Nearest Neighbor Classification Linear Classification |
First Class: Tues, Jan. 14 | Hastie, Chs. 1, 2.1-2.3 | |
2 | Bayesian Decision Theory |
Duin, Ch. 2 | ||
3 | A1 due | |||
4 | Dimensionality Reduction (PCA, LDA) | Th: C. Papers #1 | ||
5 | A2 due Proj. 1 assigned |
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6 | SVMs | Th: C. Papers #2 | Criminisi et al., pp. 86-130 | |
7 | Random Forests | Career Fair (W/T: Feb. 26 & 27) | ||
Segmentation | ||||
8 | End of Class. & Segmentation, Part I | **Proj. 1 due | DHS Ch. 10 clustering excerpts |
|
9 | March Break | No Classes | ||
10 | March Break (extended) | No Classes | ||
11 | Object detection, Part I | Th: S. Papers #1 Proj. 2 assigned |
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12 | Object detection, Part II | Th: S. Papers #2 A3 due | ||
Parsing | ||||
13 | Parsing Overview, HMMs, SCFGs | |||
14 | Parsing Sequences: LSTM/BLSTM | **Proj. 2 due |
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15 | Parsing Graphs | **Proj. 3 assigned |
Last Class: Thurs, Apr. 23rd | |
16 | (Exams: no classes) | Exam: Fri May 1, 1:30-4pm, |
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17 | (Exams: no classes) | **Proj. 3 due: Tues May 5 |