Head pose estimation is a critical problem in many computer vision applications. These include human computer interaction, video surveillance, face and expression recognition. In ...
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
For the purpose of exploring and modelling the relationships between a dataset and several datasets, multiblock Partial Least Squares is a widely-used regression technique. It is d...
This paper presents a computer-aided diagnostic (CAD) system for analyzing chest radiographs based on the International Labor Organization (ILO) standards. We introduce an amplitu...
: Despite the widely recognised importance of intellectual capital as a vital source of competitive advantage, there is still little understanding of how organisations actually com...
The paper presents a specialised Partial Least Squares (PLS) algorithm for on-line calibration monitoring. At first, the basic scheme and philosophy of PEANO (Process Evaluation a...
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
The problem of face identification has received significant attention over the years. For a given probe face, the goal of face identification is to match this unknown face against ...
Abstract. In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characterstics of perf...
Craig Saunders, David R. Hardoon, John Shawe-Taylo...