This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
Matthieu Brucher, Christian Heinrich, Fabrice Heit...
Innovative scientific applications and emerging dense data sources are creating a data deluge for highend computing systems. Processing such large input data typically involves cop...
Henry M. Monti, Ali Raza Butt, Sudharshan S. Vazhk...
This paper targets at reducing the crosstalk noise closure time by filtering the set of false violations. We propose two approaches to reduce the pessimism in the crosstalk noise ...
A class of formulas called factored negation normal form is introduced. They are closely related to BDDs, but there is a DPLL-like tableau procedure for computing them that operate...
This paper presents a new pruning method to determine a nearly optimum multi-layer neural network structure. The aim of the proposed method is to reduce the size of the network by ...