17 search results - page 1 / 4 » Focuss is a convex-concave procedure |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We show the powerful sparse signal recovery approach FOCUSS is a convex-concave procedure. It follows a Newton-like decent direction by retaining the positive definite component ...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
AIPS
2006
13 years 6 months ago
2006
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
The paper presents two complementary strategies for identifying errors in spreadsheet programs. The strategies presented are grounded on the assumption that spreadsheets are softw...