Little is known about centennial-to millennial-scale climate variability during interglacial
times, other than the Holocene. We here present high-resolution evidence from anoxic …

In order to deeply exploit intrinsic data feature information hidden among the process data,
an improved kernel principal component analysis (KPCA) method is proposed, which is …

Conventional methods for the structural nondestructive testing (NDT) such as pulsed eddy
current (PEC), ultrasonic detection (UT), and so on are based on the output signal …

OBJECTIVE. The purpose of this article is to assess the value of computer-aided diagnosis
(CAD) for prostate cancer detection on dynamic contrast-enhanced MRI (DCE-MRI) …

A new adaptive orthogonal search (AOS) algorithm is proposed for model subset selection
and non-linear system identification. Model structure detection is a key step in any system …

In this paper, we propose a novel online modeling algorithm for nonlinear and nonstationary
systems using a radial basis function (RBF) neural network with a fixed number of hidden …

This contribution proposes a novel probability density function (PDF) estimation based over-
sampling (PDFOS) approach for two-class imbalanced classification problems. The classical …

We propose a unified data modeling approach that is equally applicable to supervised
regression and classification applications, as well as to unsupervised probability density …

We propose a new method for a supervised online estimation of probabilistic discriminative
models for classification tasks. The method estimates the class distributions from a stream of …

3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to
model 3D objects in an incremental way so as to capture more finer details at each step. The …