Modeling Multiple Time Series Annotations as Noisy Distortions of the Ground Truth: An Expectation-Maximization Approach
A simplified neuron model as a principal component analyzer.
How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
A family of algorithms for approximate Bayesian inference
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns