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» Nested Ordered Sets and their Use for Data Modelling
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ICAPR
2005
Springer
16 years 3 days ago
3D Action Modeling and Reconstruction for 2D Human Body Tracking
In this paper we present a technique for predicting the 2D human body joints and limbs position in monocular image sequences, and reconstructing its corresponding 3D postures using...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
DKE
2007
82views more  DKE 2007»
15 years 6 months ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks
BMCBI
2007
134views more  BMCBI 2007»
15 years 6 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
MICCAI
2009
Springer
16 years 1 months ago
On the Manifold Structure of the Space of Brain Images
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
Samuel Gerber, Tolga Tasdizen, Sarang C. Joshi, Ro...
SIAMSC
2008
113views more  SIAMSC 2008»
15 years 6 months ago
Limited Data X-Ray Tomography Using Nonlinear Evolution Equations
A novel approach to the X-ray tomography problem with sparse projection data is proposed. Non-negativity of the X-ray attenuation coefficient is enforced by modelling it as max{(x)...
Ville Kolehmainen, Matti Lassas, Samuli Siltanen