sign up for your presentation: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
Line 15: | Line 15: | ||
|- | |- | ||
|- | |- | ||
|Nov 18||Rahul [http://dsp.rice.edu/files/cs/baraniukCSlecture07.pdf]||Fatemeh Dorri [http://www.cs.berkeley.edu/~jordan/papers/daspremont-siam-review.pdf] | |Nov 18||Rahul [http://dsp.rice.edu/files/cs/baraniukCSlecture07.pdf]| summary||Fatemeh Dorri [http://www.cs.berkeley.edu/~jordan/papers/daspremont-siam-review.pdf] | ||
|- | |- | ||
|- | |- |
Revision as of 22:33, 10 November 2010
Sign up for your presentation in the following table. Put your name and a link to the paper that you are going to present. Chose a date between Nov 16 and Dec 2 (inclusive).
Set A
Date | Presentation (1) | Presentation (2) |
Nov 16 | Sepideh Seifzadeh [1] Summary | Manda Winlaw [2], Summary |
Nov 18 | summary | Fatemeh Dorri [3] |
Nov 23 | Pouria Fewzee [4] | Lisha Yu[5] |
Nov 25 | Laleh Ghoraie [6] | Mehrdad Gangeh [7] |
Nov 30 | Greg D'Cunha [8] | Mohammad Derakhshani |
Dec 2 | Yongpeng Sun [9] | Ryan Case [10] |
Set B
Name | Second paper (The paper that you are going to write a critic on it. This is different from the paper that you have chosen for presentation.) |
Greg D'Cunha | Probabilistic matrix factorization [11] |
Fatemeh Dorri | Optimal Solutions forSparse Principal Component Analysis[12] |
Lisha Yu | Maximum‐margin matrix factorization[13] |
Ryan Case | Probabilistic non-linear principal component analysis with Gaussian process latent variable models [14] |
Yongpeng Sun | Multi‐Task Feature Learning [15] |
Manda Winlaw | Consistency of trace norm minimization [16] |