11 years 10 months ago
On partial least squares in head pose estimation: How to simultaneously deal with misalignment
Head pose estimation is a critical problem in many computer vision applications. These include human computer interaction, video surveillance, face and expression recognition. In ...
Murad Al Haj, Jordi Gonzàlez, Larry S. Davi...
145views more  JMLR 2010»
13 years 2 months ago
Kernel Partial Least Squares is Universally Consistent
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...
Gilles Blanchard, Nicole Krämer
80views more  INFORMATICALT 2011»
13 years 2 months ago
From Multiblock Partial Least Squares to Multiblock Redundancy Analysis. A Continuum Approach
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...
Stéphanie Bougeard, Mostafa El Qannari, Cor...
13 years 5 months ago
Multiscale AM-FM analysis of pneumoconiosis x-ray images
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...
Víctor Murray, Marios S. Pattichis, Herbert...
68views more  IJKL 2007»
13 years 7 months ago
Modelling the creation of value from intellectual capital: a Portuguese banking perspective
: 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...
Maria do Rosário Cabrita, Jorge Landeiro De...
205views Fuzzy Logic» more  EUSFLAT 2003»
13 years 8 months ago
The use of NNPLS algorithm for on-line calibration monitoring
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...
Andreas Kirschner
13 years 8 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
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...
13 years 9 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
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...
Liqing Di, Zhihua Xiong, XianHui Yang
13 years 11 months ago
A Robust and Scalable Approach to Face Identification
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 ...
14 years 25 days ago
Using String Kernels to Identify Famous Performers from Their Playing Style
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...