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» Learning from Highly Structured Data by Decomposition
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AIPR
2002
IEEE
15 years 2 months ago
Hyperspectral Imaging of Kaposi's Sarcoma for Disease Assessment and Treatment Monitoring
Light spectroscopic methods are critical to advances in molecular characterization of disease processes. However, these methods have been limited to in-vitro or cell culture studi...
David Hattery, Moinuddin Hassan, Stavros Demos, Am...
ICDE
2009
IEEE
177views Database» more  ICDE 2009»
15 years 11 months ago
Light-Weight, Runtime Verification of Query Sources
Modern database systems increasingly make use of networked storage. This storage can be in the form of SAN's or in the form of shared-nothing nodes in a cluster. One type of a...
Tingjian Ge, Stanley B. Zdonik
NIPS
2008
14 years 11 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
15 years 10 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
AUSAI
2007
Springer
15 years 4 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan