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MICCAI
2004
Springer
16 years 2 months ago
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification
Abstract. With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovas...
Bernardo Silva Carmo, Yin-Heung Pauline Ng, Adam P...
ICC
2009
IEEE
151views Communications» more  ICC 2009»
15 years 8 months ago
Improved Vector Perturbation with Modulo Loss Reduction for Multiuser Downlink Systems
— In this paper, we present an improved precoding technique which reduces a modulo loss in vector perturbation (VP) with low complexity for the downlink of a multiuser multiple-i...
Hyeon-Seung Han, Seokhwan Park, Inkyu Lee
CORR
2006
Springer
87views Education» more  CORR 2006»
15 years 1 months ago
Synchronization recovery and state model reduction for soft decoding of variable length codes
Abstract-- Variable length codes (VLCs) exhibit desynchronization problems when transmitted over noisy channels. Trellis decoding techniques based on Maximum A Posteriori (MAP) est...
Simon Malinowski, Herve Jegou, Christine Guillemot
SAC
2006
ACM
15 years 7 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
15 years 6 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen