?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
In this work, we propose algorithms to recursively and causally reconstruct a sequence of natural images from a reduced number of linear projection measurements taken in a domain ...
Temperature hot-spots have been known to cause severe reliability problems and to significantly increase leakage power. The register file has been previously shown to exhibit the ...
Signal processing and multimedia applications are often implemented on resource constrained embedded systems. It is therefore important to find implementations that use as little ...
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...