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ICML
2004
IEEE
15 years 8 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
NORDICHI
2004
ACM
15 years 8 months ago
On-line adjustment of dwell time for target selection by gaze
In eye typing systems, a dwell time that adjusts to the user’s natural typing speed is highly desirable. We present an algorithm for on-line adjustment of dwell time developed a...
Oleg Spakov, Darius Miniotas
PAMI
2007
102views more  PAMI 2007»
15 years 2 months ago
Feature Subset Selection and Ranking for Data Dimensionality Reduction
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
Hua-Liang Wei, Stephen A. Billings
136
Voted
SIAMJO
2010
135views more  SIAMJO 2010»
15 years 1 months ago
On the Complexity of Selecting Disjunctions in Integer Programming
The imposition of general disjunctions of the form “πx ≤ π0 ∨ πx ≥ π0 + 1”, where π, π0 are integer valued, is a fundamental operation in both the branch-and-bound...
Ashutosh Mahajan, Ted K. Ralphs
CVPR
2010
IEEE
15 years 11 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh