Abstract. This paper describes a framework for the design space exploration of resource-efficient software-defined radio architectures. This design space exploration is based on a ...
Thorsten Jungeblut, Ralf Dreesen, Mario Porrmann, ...
Abstract. Various forms of pervasive computing environments are being deployed in an increasing number of areas including healthcare, home automation, and military. This evolution ...
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
In various applications, the effect of errors in gradient-based iterations is of particular importance when seeking saddle points of the Lagrangian function associated with constra...