𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Recovery of spectral data using weighted canonical correlation regression

✍ Scribed by Niloofar Eslahi; Seyed Hossein Amirshahi; Farnaz Agahian


Book ID
106255849
Publisher
Optical Society of Japan
Year
2009
Tongue
English
Weight
658 KB
Volume
16
Category
Article
ISSN
1340-6000

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Tissue segmentation and classification o
✍ Teresa Laudadio; Pieter Pels; Lieven De Lathauwer; Paul Van Hecke; Sabine Van Hu πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 446 KB

## Abstract In this article an accurate and efficient technique for tissue typing is presented. The proposed technique is based on Canonical Correlation Analysis, a statistical method able to simultaneously exploit the spectral and spatial information characterizing the Magnetic Resonance Spectrosc

Linear viscoelastic models: Part II. Rec
✍ Tommi Borg; Esko J. PÀÀkkΓΆnen πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 396 KB

The constitutive models for the viscoelasticity of polymers are presented for determining molecular weight distributions (MWDs) from viscosity measurements. The inversion of this model derived from control theory and melt calibration procedure connects the relaxation modulus, viscosity, and other fl

Fast nosological imaging using canonical
✍ Teresa Laudadio; M. Carmen MartΓ­nez-Bisbal; Bernardo Celda; Sabine Van Huffel πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 503 KB

## Abstract A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the spectral and spatial informat