CS034/CS134, Spring 2010
Machine Learning and Statistical Data Analysis



  • Robin Chhetri and Radhika Bhasin,  Breaking CAPTCHA.

  • Taylor Campbell and James Oakley,   Musical Genre Classification.

  • Chi Chu,   Prediction of Binding Potential of Oxygen Atoms on a Gold Surface.

  • Joseph A. Cooley,   Increasing the I.Q. of Your Smartphone: Reducing Email Keystrokes Using Personalized Word Prediction.

  • Cory Cornelius and Shrirang Mare,   Detecting On-body Placement of Sensors.

  • Jon Denning and Jiawei Ou,   Estimating Appearance Manifolds using Nonlinear Dimensionality Reduction.

  • Alina Djamankulova,   Braille Image Recognition.

  • Adam Marano and Danielle Dumond,   Sensor Fusion for Terrain Classification.

  • Matthew Elkherj,   Mathematics Optical Character Recognition.

  • Xiaoming He,   Application of Support Vector Machines to Separate Dose of Radiation Exposure in Human Fingernails.

  • Morgon Kanter,   Operating System Detection.

  • Kyle Konrad,   Decomposing Duets: Harmonic Structed-Based Instrument Identification and Separation.

  • Deqing Li,   Learning of Bayesian Network using EM Algorithm.

  • Wenyu Lu and Rui Xie,   Real time tracking of multiple persons in multimedia application.

  • Hao Luo,   Spectral clustering algorithm application on analyzing gene expression.

  • Mohammod Mashfiqui Rabbi and Jyotishman Nag,   Predicting Human Conversations using Social Networks.

  • Roth Michaels,   Training Systems for Augmenting Improvisers.

  • Cole Ott,   Generalizable Image Analogies.

  • Aarathi Prasad,   Look who's dancing.

  • Jason Reeves,   Major League Baseball Performance Prediction.

  • Senate Taka,   Search by Audio: Retrieving Full Length Songs Using Audio Clips.

  • Xiaochao Yang,   Motion Karaoke.

  • Fei YU,   Learnable Summaries.