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Fall 2010 projects
Online/Social Data
Structured Learning of Two-Level Dynamic Rankings.
Karthik Raman. [no pdf]Classification of Usefulness in User-submitted Content Using Supervised Learning Algorithms.
TzeJian Chear, Ellis Weng. [pdf]Context Aware Citation Recommendation System.
Hema Koppula. [pdf]Semi-supervised Learning for Sentiment Classification.
Bishan Yang. [pdf]Learning Functionality Graph of Products: Substitute and Complementary Relations on Amazon.
Amit Sharma. [pdf]Scalable Link Prediction in Online Social Networks.
Akshay Bhat, Pracheer Gupta. [pdf]
Robotics
Classification of Joints and Joint Structure Using Sterovision.
Andrew Spielberg, Shahrukh Mallick. [pdf]Grasping with Intent to Place.
Stephen Moseson, Andrew Perrault. [pdf]Determining Grasping Regions Using Vision.
Biswajit Biswal, Marcus Lim. [pdf]Robotic Door Knob Disinfectant.
Matthew Rosoff. [pdf]Visually Discovering Objects' Kinematic Structures.
Akram Helou, Ian Lenz. [pdf]Autonomous Flight in Unstructured Environment using Monocular Image.
Saurav Kumar. [pdf]MAV Stabilization using Machine Learning and Onboard Sensors.
Cooper Bills, Jason Yosinski. [pdf]
Vision
Modeling 3D viewpoint for part-based object recognition of rigid objects.
Joshua Schwartz. [pdf]Converting Movie-Grade 2D Videos to 3D Movies.
Abhishek Anand. [pdf]Holistic Scene Understanding: Mixed Mode Cascaded Classification Models.
Colin Ponce. [pdf]Object Depth Estimation Using Stereo Vision and Monocular Ranging.
Rohan Sharma, David Skiff. [pdf]Correcting User Guided Image 3D Models.
Garrett Bernstein, Karen Ho. [pdf]Object Detection using Cascaded Classification Models.
Chau Nguyen. [pdf]Conversion of 2D to 3D video using interactive co-segmentation.
Anandram Sundar. [pdf]Deformable Object Modeling with Multi-View Imaging.
Kevin Matzen. [pdf]Hierarchical Temporal Memory for Image Classification.
Darbin Reyes. [pdf]
Computational Biology / Neuroscience
Visual recognition based on integrated sensory modalities.
Reza Shahbazi. [pdf]Discriminative Random Field Modeling of Lung Tumors in CT Scans.
Brian Liu. [pdf]Identifying Host-Parasite Relationships among Bacteria and Phages: A Machine Learning Approach.
Joon Park. [no pdf]ALE: an Assembly Likelihood Evaluation Framework to Estimate the Quality of Metagenome Assemblies.
Scott Clark. [pdf]A hybrid of discrete particle swarm optimization and support vector machine for gene selection and molecular classification of cancer.
Adithya Gurram. [pdf]
Financial Data
Predicting Stock Price Volability from the Web.
Steve Spagnola. [live website]Trading High Probability Trend Pullbacks.
Dale Cassidy. [no pdf]Machine Learning of Options Trading Strategies.
Ted Cornforth. [no pdf]Optimal Opponent Counter Strategy Selection in Holdem Poker.
Nathan Lloyd. [pdf]Predicting Margin of Victory in NFL Games: Machine Learning vs. the Las Vegas Line.
Jim Warner. [pdf]
Other Applications / Theory
Predicting Run Time on Combinatorial Problems.
Eoin O'Mahony. [pdf]Concave regularizations and MAP priors for sparse topic models.
Johan Ugander. [pdf]New Kernel for Support Vector Machines.
Josh Moore. [no pdf]Adapting Base Class Back-propagation.
Anshumali Shrivastava. [no pdf]Projecting Spring Arrival with Functional Temperature Data.
Cecilia Earls. [pdf]