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NIPS
1998
15 years 8 months ago
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage
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...
Yves Grandvalet, Stéphane Canu
NIPS
2000
15 years 8 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
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...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
VMV
2000
122views Visualization» more  VMV 2000»
15 years 8 months ago
Building a Photo Studio for Measurement Purposes
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. ...
WIESS
2000
15 years 8 months ago
HP Caliper: An Architecture for Performance Analysis Tools
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...
Robert Hundt
ICML
2010
IEEE
15 years 8 months ago
Bottom-Up Learning of Markov Network Structure
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 ...
Jesse Davis, Pedro Domingos