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ICPR
2008
IEEE
15 years 4 months ago
Fast multiple instance learning via L1, 2 logistic regression
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Zhouyu Fu, Antonio Robles-Kelly
ECML
2007
Springer
15 years 4 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
PATMOS
2007
Springer
15 years 4 months ago
Fast Calculation of Permissible Slowdown Factors for Hard Real-Time Systems
This work deals with the problem to optimise the energy consumption of an embedded system. On system level, tasks are assumed to have a certain CPU-usage they need for completion. ...
Henrik Lipskoch, Karsten Albers, Frank Slomka
SPIRE
2007
Springer
15 years 4 months ago
A Fast and Compact Web Graph Representation
Compressed graphs representation has become an attractive research topic because of its applications to the manipulation of huge Web graphs in main memory. By far the best current ...
Francisco Claude, Gonzalo Navarro
3DPVT
2006
IEEE
189views Visualization» more  3DPVT 2006»
15 years 3 months ago
Fast Safe Spline Surrogates for Large Point Clouds
To support real-time computation with large, possibly evolving point clouds and range data, we fit a trimmed uniform tensor-product spline function from one direction. The graph ...
Ashish Myles, Jörg Peters