The presentations are 25 min long, including questions. So plan for 20 minutes to present and 5 min for questions. You should convey the major idea in the paper, you do not (and should not) explain every single little detail.
Some useful points:
 Give the paper title and the authors on the first slide
 Clearly state the problem the paper tackles
 Explain the prior work on this problem and its limitation (from the prior work section in the paper
 Briefly state which limitations of the prior work the paper proposes to solve and which computational techniques will be used
 Explain the main technical details (the "meat" of the paper)
 Experimental results
 Conclusions (which issues are left to solve, future work, etc...)
 Try to use as many pictures as possible instead of text/formulas
Possible papers for presentations
Presentations on December 2

 Islam: "Probabilistic expression analysis on manifolds" by
Ya Chang Changbo Hu Turk, M.
 Wei: "Learning Object Detection from a Small Number of Examples: the Importance
of Good Features" by K. Levi and Y. Weiss.
 Alex
"A linear time algorithm for computing exact Euclidean distance transforms of binary images in arbitrary dimensions" by Maurer, C.R., Jr., Rensheng Qi, Raghavan, V.
 Tharindu:
"A Discriminatively Trained, Multiscale, Deformable Part Model" by
P. Felzenszwalb, D. McAllester, D. Ramanan, In Proc. IEEE CVPR 2008.