CSE6327

User Tools

Site Tools

You are here: EECS 6327 Probabilistic Models & Machine Learning (Fall 2016) » projects
Trace: • EECS 6327 Probabilistic Models & Machine Learning (Fall 2016) • Advanced Topics for self-study and Presentation
projects

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
projects [2016/12/05 00:26] – hjprojects [2018/01/12 16:28] (current) – hj
Line 1: Line 1:
  
-   *  **{{:project1.pdf|Project one}}**   (extended to Nov 18)+   *  **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..    *   **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..
Line 16: Line 16:
       - **Matthew Tesfaldet**: CNN-based static and dynamic texture synthesize       - **Matthew Tesfaldet**: CNN-based static and dynamic texture synthesize
       - **Gong Cheng**: Studying various learning methods for texture classification       - **Gong Cheng**: Studying various learning methods for texture classification
 +      - **Po Wu**: Person re-identification via metric learning
  
projects.1480897602.txt.gz · Last modified: 2016/12/05 00:26 by hj
Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki