RIT Department of Computer Science, Room 70-3500 (Golisano College)
Phone: (585) 475-4536

Schedule

RIT Academic Calendar

Week    Topics Assign/Proj Presentations
 
Classification
1 Overview, Nearest Neighbor Classification
2 Bayesian Decision Theory and Linear Classifiers     
3 Dimensionality Reduction (PCA, LDA) A1 due
4 Support Vector Machines Class. Pres. #1 *W/T: Career Fair
5 Ensembles: AdaBoost, Random Forests A2 due; Proj. 1 assigned   
6 Ensembles: CNN and 'Deep' Neural Nets Class. Pres. #2
Segmentation
7 Segmentation + Clustering (incl. k-means) Proj. 1 due
8 Segmentation, continued Proj. 2 assigned Seg. Pres. #1
9 [ -- Spring Break -- ]
10 Object Detection: Joint Class. + Seg. A3 due Seg. Pres #2
11 Segmentation, continued Proj. 2 due
Parsing
12 Parsing Overview, Structural Pattern Rec. Proj. 3 assigned   Parsing Pres. #1
13 Sequences: HMM, LSTM/BLSTM A4 due Parsing Pres. #2
14 Hierarchies: Stochastic Context-Free Grammars Proj. 3 due
15 Parsing, Cont'd. Project Presentations
16 Class Monday; -- Exam Week -- A5 due

Readings: this course makes use of a variety of texts, including Pattern Classification (Duda, Hart and Stork), Elements of Statistical Learning (Hastie, Tibshirani and Friedman), Pattern Recognition and Machine Learning (Bishop), Boosting (Freund and Schapire), C4.5 (Quinlan), along with research papers and other sources. Readings will be provided through MyCourses.