CIS 620 - Spring 2007

Presenter	Title	Date
Paul Vernaza	Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Filtering	Marth 27, 2007
Alexander Toshev	Discriminative Random Fields (for Image Segmentation)	Marth 27, 2007
Timothee Cour	Solving Markov Random Fields with Spectral Relaxation	Marth 27, 2007
Logan Everett	Context-specific independence mixture modeling for positional weight matrices	Marth 29, 2007
Daniel Donavanik	A Hierarchical Bayesian Model of Invariant Pattern Recognition in the Visual Cortex	Marth 29, 2007
Kuzman Ganchev		March 29, 2007
Hubert Jin	Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network	April 3, 2007
Yuanqing Lin	Efficient Structure Learning of Markov Networks using L1-Regularization	April 3, 2007
Edi Bice	Wavelet-Based Statistical Signal Processing Using Hidden Markov Models	April 3, 2007
Alex Teichman	Illumination-Invariant Tracking via Graph Cuts	April 5, 2007
Nick Vander Valk	Learning to Combine Bottom-Up and Top-Down Segmentation	April 5, 2007
Jeff Sherman	Improving classification when a class hierarchy is available using a hierarchy-based prior	April 5, 2007
Ryan Gabbard	Discriminative Word Alignment with Conditional Random Fields	April 10, 2007
Jinsong Tan	Correlated Equilibria in Graphical Games	April 10, 2007
Joao Graca	An End-to-End Discriminative Approach to Machine Translation	April 10, 2007
Partha Pratim Talukdar	Latent Dirichlet Allocation	April 12, 2007
Perry Evans	Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data	April 12, 2007
Ben Nye	Gene Expression Time Course Clustering with Countably Infinite Hidden Markov Models	April 12, 2007
Liang Huang	Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms	April 17, 2007
Mark Dredze	Coarse-to-fine n-best parsing and MaxEnt discriminative reranking	April 17, 2007
Akshay Rajhans	Phoneme Alignment Based on Discriminative Learning	April 17, 2007