Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
This paper presents a new timing driven force directed placement algorithm that meets physical net length constraints as well as constraints on specific pin sets. It is the first ...
Karthik Rajagopal, Tal Shaked, Yegna Parasuram, Tu...
Recently a number of heuristic based system-level synthesis algorithms have been proposed. Though these algorithms quickly generate good solutions, how close these solutions are t...
U. Nagaraj Shenoy, Prithviraj Banerjee, Alok N. Ch...