12 search results - page 1 / 3 » Regression based D-optimality experimental design for sparse... |
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
IJON
2010
13 years 3 months ago
2010
IDEAL
2004
Springer
13 years 10 months ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
TSMC
2010
12 years 11 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
DAGM
2008
Springer
13 years 6 months ago
2008
Springer
Abstract. This paper proposes a regression-based method for singleimage super-resolution. Kernel ridge regression (KRR) is used to estimate the high-frequency details of the underl...