presentations
This is an old revision of the document!
1. Midterm Presentation (Please select your topic from the following list)
- Convex Optimization: paper1
- Graphical Models: paper2
- Deep Neural Networks: paper3 (by Hong)
- Feature Dimensionality Reduction: paper4 (by Boze)
Each person makes a presentation (35-40 minutes) on one of the above topics and leaves 5 minutes for Q&A. The midterm presentation has been scheduled in a single 3-hr time slot from 11am-2pm at LAS3033 (not our regular classroom) on Oct 29 (Mon). As a result, the class on Oct 24 is cancelled.
2. Final Presentation: (Please select your topic from the following list or let me know any other topic you may be interested in.)
- Discriminative Training of HMMs: paper10 and paper11
- Bayesian Learning of HMMs: paper12 and paper13
- Latent Semantic Analysis for Language Model: paper14
- Weighted Finite State Transducer Optimization for Speech and Language Processing: paper15
- SPAM filtering: paper16
- Auto Summarization: paper17
- Open-Domain Q&A: paper18
presentations.1352234509.txt.gz · Last modified: 2012/11/06 20:41 by hj