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» Optimization of in-network data reduction
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ICDE
2007
IEEE
228views Database» more  ICDE 2007»
15 years 3 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
88
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HPCA
2008
IEEE
15 years 10 months ago
Performance and power optimization through data compression in Network-on-Chip architectures
The trend towards integrating multiple cores on the same die has accentuated the need for larger on-chip caches. Such large caches are constructed as a multitude of smaller cache ...
Reetuparna Das, Asit K. Mishra, Chrysostomos Nicop...
CVPR
2007
IEEE
15 years 11 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
SCIA
2009
Springer
140views Image Analysis» more  SCIA 2009»
15 years 4 months ago
Fast Prototype Based Noise Reduction
This paper introduces a novel method for noise reduction in medical images based on concepts of the Non-Local Means algorithm. The main objective has been to develop a method that ...
Kajsa Tibell, Hagen Spies, Magnus Borga
105
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ISBI
2004
IEEE
15 years 10 months ago
An Adaptive Window Approach for Poisson Noise Reduction and Structure Preserving in Confocal Microscopy
In domains like confocal microscopy, the imaging process is based on detection of photons. It is established the additive Gaussian noise model is a poor description of the actual ...
Alain Trubuil, Charles Kervrann