We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
For over a decade, the Nash Bargaining Solution (NBS) concept from cooperative game theory has been used in networks to share resources fairly. Due to its many appealing propertie...
This paper introduces a class of linear phase lapped biorthogonal transforms with basis functions of variable length VLGLBT. The transform can be characterized by a lattice which ...
Trac D. Tran, Ricardo L. de Queiroz, Truong Q. Ngu...
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...