The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
Most image retrieval systems perform a linear search over the database to find the closest match to a query. However, databases usually exhibit a natural grouping structure into c...
— Modern sub-micron VLSI designs include huge power grids that are required to distribute large amounts of current, at increasingly lower voltages. The resulting voltage drop on ...
In this paper we explore the interaction between a dynamic model of the power transmission system (OPA) and a simple economic model of power generation development. Despite the si...
Benjamin A. Carreras, David E. Newman, Matthew Zei...