• Project one (extended to Nov 18)
  • Project Two: Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc. It is expected to be 6-8 pages (double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc..
    1. Hemanth Pidaparthy: Image retrieval using SIFT or HOG features and auto-encoders
    2. Yifan Li: Group-level mobility modelling with Markov models
    3. Feng Wei: Using neural networks for entity linking
    4. Hao Li: Learning char-level neural networks for morphology
    5. Jack Wu: Learning neural networks for arithmetic operations
    6. Chao Wang: Building end-to-end conversation models using neural networks
    7. Leihan Chen: Image segmentation through conditional random fields
    8. Meng Jia: Using neural networks to predict depth from video frames
    9. Mahdieh Abbaszadegan: HMM-based 2D Basecalling using MinION sequencers
    10. Eunkyung Park: Using topic models for trend analysis from news articles
    11. Yangguang Li: Studying various machine learning methods for software bug prediction
    12. Matthew Tesfaldet: CNN-based static and dynamic texture synthesize
    13. Gong Cheng: Studying various learning methods for texture classification
    14. Po Wu: Person re-identification via metric learning