Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
A digital photo studio was built to generate high quality real world input data for various imagebased rendering and vision algorithms. Special attention was paid to carefully con...
Michael Goesele, Wolfgang Heidrich, Hendrik P. A. ...
HP Caliper is an architecture for software developer tools that deal with executable (binary) programs. It provides a common framework that allows building of a wide variety of to...
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...