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FOCI
2007
IEEE
13 years 9 months ago
Conflict Analysis Based on Discernibility and Indiscernibility
Abstract-- The dual notions of discernibility and indiscernibility play an important role in intelligent data analysis. While discernibility focuses on the differences, the indisce...
Yiyu Yao, Yan Zhao
CLUSTER
2011
IEEE
12 years 5 months ago
A Framework for Data-Intensive Computing with Cloud Bursting
—For many organizations, one attractive use of cloud resources can be through what is referred to as cloud bursting or the hybrid cloud. These refer to scenarios where an organiz...
Tekin Bicer, David Chiu, Gagan Agrawal
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 5 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...
DOLAP
2005
ACM
13 years 7 months ago
A relevance-extended multi-dimensional model for a data warehouse contextualized with documents
Current data warehouse and OLAP technologies can be applied to analyze the structured data that companies store in their databases. The circumstances that describe the context ass...
Juan Manuel Pérez, Rafael Berlanga Llavori,...
PAMI
2008
189views more  PAMI 2008»
13 years 5 months ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia