This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
This paper presents an object-oriented approach for describing and modelling buildings by means of computer graphics. The approach is based on an object- and component-oriented gr...
This paper summarizes new analytical and empirical results for the economic approach to simulation selection problems that we introduced two years ago. The approach seeks to help ...
The paper presents a reflection on some of the basic assumptions and philosophy of reference point approaches, stressing their unique concentration on the sovereignty of the subje...
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...