Abstract. Interpolating scattered data points is a problem of wide ranging interest. One of the most popular interpolation methods in geostatistics is ordinary kriging. The price f...
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
Abstract. We address the problem of comparing sets of images for object recognition, where the sets may represent arbitrary variations in an object's appearance due to changin...
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
— In upstream vectored DSL transmission, the far-end crosstalk (FEXT) can be completely cancelled by using zeroforcing generalized decision-feedback equalizers (ZF-GDFE). When th...
Chiang-Yu Chen, Kibeom Seong, Rui Zhang, John M. C...