This paper considers the problem of single image super-resolution (SR). Previous example-based SR approaches mainly focus on analyzing the co-occurrence property of low resolution (LR) and high ...

As an extension to a recently proposed local linear approximation method we present an algorithm that generates more compact solutions for supervised-learning problems. Given a network of linear ...

We consider efficient construction of nonlinear solution paths for general l₁-regularization. Unlike the existing methods that incrementally build the solution path through a combination of local ...

The Annals of Statistics, Vol. 42, No. 3 (June 2014), pp. 819-849 (31 pages) Folded concave penalization methods have been shown to enjoy the strong oracle property for high-dimensional sparse ...