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» Dimensions of Component Based Development
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142
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BMCBI
2010
113views more  BMCBI 2010»
15 years 1 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
16 years 4 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
133
Voted
VIS
2007
IEEE
157views Visualization» more  VIS 2007»
16 years 3 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»
15 years 8 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
15 years 3 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