Posters

Location: Outside Georgia A, Hyatt Regency Vancouver

Posters can be set up starting at 08:30 on December 8 and must be taken down before 17:00 to accommodate the evening NIPS poster session. The poster session is from 15:50-16:45, although posters will be available for viewing the entire day.

Poster dimensions cannot exceed 4 ft high and 3 ft wide.


MLVAT: A Framework for Evaluating the Performance of Agent(s) in Poker
Martha White, University of Alberta

Finding Non-Redundant, Statistically Significant Regions in High Dimensional Data: a Novel Approach to Projected and Subspace Clustering
Gabriela Moise, University of Alberta

Cluster-Based Topic Modeling
Hanna Wallach, University of Massachussets-Amherst

Anthropometric Human Hand Models for Tracking
Catherine Wah, UC San Diego

Long-term learning and adaptation in intelligent personal robotics
Adriana Tapus, University of Southern California

Embedding Anonymity Protection in a Concept Lattice based Association Rule Mining Algorithm
Morvarid Sehatkar, University of Ottawa

Application of plant metabolomics for the classification of genotypes, temperature stress, and biomarker identification using machine learning
Preeti Bais, Iowa State University

OPTIMOL: automatic Online Picture collection via Incremental MOdel Learning
Jia Li, Princeton University

Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence
Oksana Yakhnenko, Iowa State University

Feature Weight Assignments in IVF Pregnancy Prediction
Asli Uyar, Bogazici University

Learning 2D Subspaces for Prosthetic Robot Grasping
Aggeliki Tsoli, Brown University

Neurocomputational Modeling of Imitation through Apraxia Errors
Biljana Petreska, EPFL

Speed and Sparsity of Regularized Boosting
Yongxin Xi, Princeton University

Characterization of Communities Within a Network Based on a Measure of Global Capacity to Influence
Rumi Ghosh, University of Southern California

Selecting Optimal Interestingness Measures for Associative Classification Rules
Mojdeh Jalali Heravi, University of Alberta

Basis Function Construction For Multi-level Hierarchical Reinforcement Learning
Sarah Osentoski, University of Massachusetts-Amherst

Multi-Class Email Classification for TaskTracer Tasks
Victoria Keiser, Oregon State University

SCRAM: Sensor Choosing for Relocatable Action Models
Bethany Leffler, Rutgers University

Connecting Spectral and Spring Methods for Manifold Learning
Shannon Hughes, Princeton University

On Improving Probability Estimation Trees
Haoyun Feng, Columbia University

Learning the State Space of an HMM for Activity Recognition
Farheen Omar, University of Waterloo