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» A Data Transformation Method Based on Schema Mapping
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IJON
2010
120views more  IJON 2010»
15 years 3 months ago
Semi-supervised learning with varifold Laplacians
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
Lei Ding, Peibiao Zhao
EDBT
2002
ACM
132views Database» more  EDBT 2002»
16 years 4 months ago
A Framework for the Physical Design Problem for Data Synopses
Maintaining statistics on multidimensional data distributions is crucial for predicting the run-time and result size of queries and data analysis tasks with acceptable accuracy. To...
Arnd Christian König, Gerhard Weikum
ISBI
2009
IEEE
15 years 11 months ago
Fast Haar-Wavelet Denoising of Multidimensional Fluorescence Microscopy Data
We propose a novel denoising algorithm to reduce the Poisson noise that is typically dominant in fluorescence microscopy data. To process large datasets at a low computational co...
Florian Luisier, Cédric Vonesch, Thierry Bl...
ICASSP
2009
IEEE
15 years 11 months ago
SkellamShrink: Poisson intensity estimation for vector-valued data
Owing to the stochastic nature of discrete processes such as photon counts in imaging, a variety of real-world data are well modeled as Poisson random variables whose means are in...
Keigo Hirakawa, Patrick J. Wolfe
CSREASAM
2009
15 years 5 months ago
Security Level Determination Using Branes for Contextual Based Global Processing: An Architecture
This paper presents the basics of a new paradigm that allows generators and consumers of global contextual information to determine an appropriate security level needed for contex...
Greg Vert, Evangelos Triantaphyllou