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» Dimensions of Component Based Development
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BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
ICCV
2003
IEEE
14 years 10 months ago
Separating Reflection Components of Textured Surfaces using a Single Image
The presence of highlights, which in dielectric inhomogeneous objects are linear combination of specular and diffuse reflection components, is inevitable. A number of methods have...
Robby T. Tan, Katsushi Ikeuchi
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
14 years 9 months ago
Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
Abstract-- This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is me...
Christoph Heinzl, Johann Kastner, Eduard Grölle...
BPM
2007
Springer
144views Business» more  BPM 2007»
14 years 2 months ago
Managing Socio-technical Interactions in Healthcare Systems
Abstract. We put forward an architectural framework that promotes the externalisation of the social dimension that arises in software-intensive systems which, like in healthcare, e...
Osama El-Hassan, José Luiz Fiadeiro, Reiko ...
BMVC
2000
13 years 9 months ago
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
Dick de Ridder, Josef Kittler, Robert P. W. Duin