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CORR
2008
Springer
73views Education» more  CORR 2008»
15 years 6 months ago
Stiffness Analysis of 3-d.o.f. Overconstrained Translational Parallel Manipulators
The paper presents a new stiffness modelling method for overconstrained parallel manipulators, which is applied to 3-d.o.f. translational mechanisms. It is based on a multidimensio...
Anatoly Pashkevich, Damien Chablat, Philippe Wenge...
TMI
2008
138views more  TMI 2008»
15 years 6 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
FAC
2010
148views more  FAC 2010»
15 years 5 months ago
Automating the transformation-based analysis of visual languages
We present a novel approach for the automatic generation of model-to-model transformations given a description of the operational semantics of the source language in the form of gr...
Juan de Lara, Hans Vangheluwe
ICPR
2010
IEEE
15 years 4 months ago
On-Line Signature Verification Using 1-D Velocity-Based Directional Analysis
In this paper, we propose a novel approach for identity verification based on the directional analysis of velocity-based partitions of an on-line signature. First, interfeature dep...
Muhammad Talal Ibrahim, Matthew J. Kyan, M. Aurang...
INTERSPEECH
2010
15 years 1 months ago
Sparse component analysis for speech recognition in multi-speaker environment
Sparse Component Analysis is a relatively young technique that relies upon a representation of signal occupying only a small part of a larger space. Mixtures of sparse components ...
Afsaneh Asaei, Hervé Bourlard, Philip N. Ga...