Learning the common structure shared by a set of supervised tasks is an important practical and theoretical problem. Knowledge of this structure may lead to better generalization ...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
— Granular computing unifies structured thinking, structured problem solving and structured information processing. In order to see the flexibility and universal applicability ...
We approach the problem of computational crystal structure prediction, implementing an evolutionary algorithm--USPEX (Universal Structure Predictor: Evolutionary Xtallography). St...
In this paper we study the problem of building a connected dominating set with constant degree (CCDS) in the dual graph radio network model [4,9,10]. This model includes two types...
Widely used SVD-based matrix factorization approaches to the recovery of 3D rigid structure from motion (SFM), require a set of feature points to be visible in a set of images. Wh...