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» On Model Selection Consistency of Lasso
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CHI
2005
ACM
14 years 8 months ago
Design and analysis of delimiters for selection-action pen gesture phrases in scriboli
We present a quantitative analysis of delimiters for pen gestures. A delimiter is "something different" in the input stream that a computer can use to determine the stru...
François Guimbretière, Gonzalo Ramos...
ICML
2004
IEEE
14 years 1 months ago
Gradient LASSO for feature selection
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
Yongdai Kim, Jinseog Kim
ICASSP
2011
IEEE
13 years 5 days ago
Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on CHiLasso, a convex collaborative hierarchical s...
Pablo Sprechmann, Ignacio Ramírez, Pablo Ca...
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 8 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye
TSP
2010
13 years 3 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...