CSCI-567 Projects (fall 2007)

Administrative

Paper	Due on Dec 6, 2007 at beginning of class (email + hardcopy) Should be 6-8 pages long Must include references to relevant work Use style from a public ML-type conference such as ICML, KDD, IJCAI, AAAI, NIPS, ICDM, etc. Write as though you are submitting the paper to the conference
Presentation	Length: 9 minutes for 1-person groups Length: 14 minutes for 2-3 person groups Length: 18 minutes for 4 person groups Only questions of clarifications allowed. Presentation can be done by one or all of the group members SLIDES DUE ON PRESENTATION DAY. Please mail them (PPT or PDF) to Sofus before noon on that day. DAY OF PRESENTATION: If you have more than one person in the group, then provide a sheet detailing who worked on what (with respect to the paper, research and presentation). This should be signed by all members when you turn it in.
Grade breakdown	5% attendance. 20% presentation. 25% paper writing quality: Clarity of writing, is problem well explained and motivated, is relevant work identified and cited properly, are results clearly presented. Can a reader understand it well enough to replicate your results. 50% research.

Projects

Group	Presentation Date + Time	Description
Gaurav Agarwal, William Chang	Dec 6, 5:50pm	NetFlix challenge.
Carlos Alcala	Dec 6, 4:25pm	Application of machine learning algorithms for fault detection in a polyester film process.
Rahul Bhagat	Dec 4, 4:00pm	Discovering verb classes using pair-wise constraints.
Yao-Yi Chiang	Dec 6, 5:30pm	Raster Map Classification.
Jnanaeshwar Das	Dec 4, 5:00pm	Modeling a robotic boat using machine learning.
Lior Elazary	Dec 6, 4:15pm	Context effects in classifying data.
Leonid Furman, Fred Zyda	Dec 6, 3:50pm	Using machine learning algorthms to play Connect Four game.
Tapana Gupta, Zvi Topol	Dec 4, 5:45pm	Predicting Stock Price Trends.
Daniel Hewlett	Dec 6, 6:05pm	Predicting Scene Descriptions at the word level.
Jing Jin, Feng Qi, Quan Wang	Dec 6, 5:00pm	Nearest Neighbor search in High Dimensional Data.
Mrinal Kalakrishan, Dae Hyung Park, Evangelos Theodorou	Dec 4, 4:25pm	Reinforcement Learning Methods for learning controls.
Rahol Kaliki, Manish Kurse, Giby Raphael	Dec 4, 4:10pm	Robotic controller for prosthetic limbs.
Rizwan Khan, Sean Little, Chuping Liu, Rajiv Prithvi	Dec 4, 5:10pm	A study of machine learning techniques to detect mortgage fraud.
Duckho Kim, Taehwan Kim, Yoonji Kim	Dec 4, 6:00pm	Gesture Recognition using nonlinear dimension reduction.
Yuping Lin, Li Zhang	Dec 6, 5:15pm	Comparison of SVM and AdaBoost on Human Detection in Images.
Celso M. de Melo	Dec 6, 3:40pm	Evolutionary Expression of Emotions in Virtual Humans.
Emily Mower	Dec 6, 3:30pm	Personality and Emotion of Synthetic Characters.
Urvashi Patni	Dec 6, 4:05pm	Active Information Retrieval.
Rushit Patel, Ankit Rana	Dec 4, 5:30pm	Financial Prediction with Neural Networks.
Oana Postolache	Dec 4, 3:50pm	Discriminative Syntax-Based Machine Translation.
Jason Riesa	Dec 4, 3:40pm;	Detecting Good and Bad Tree Fragments in Natural Language Translation.
John Spiegel	Dec 6, 5:40pm	Music Preference.
Ashish Vaswani	Dec 4, 3:30pm	Minimization of Translation Rules.