projects
- 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..
- Hemanth Pidaparthy: Image retrieval using SIFT or HOG features and auto-encoders
- Yifan Li: Group-level mobility modelling with Markov models
- Feng Wei: Using neural networks for entity linking
- Hao Li: Learning char-level neural networks for morphology
- Jack Wu: Learning neural networks for arithmetic operations
- Chao Wang: Building end-to-end conversation models using neural networks
- Leihan Chen: Image segmentation through conditional random fields
- Meng Jia: Using neural networks to predict depth from video frames
- Mahdieh Abbaszadegan: HMM-based 2D Basecalling using MinION sequencers
- Eunkyung Park: Using topic models for trend analysis from news articles
- Yangguang Li: Studying various machine learning methods for software bug prediction
- Matthew Tesfaldet: CNN-based static and dynamic texture synthesize
- Gong Cheng: Studying various learning methods for texture classification
- Po Wu: Person re-identification via metric learning
projects.txt · Last modified: 2018/01/12 16:28 by hj