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ICGI
2004
Springer
15 years 11 months ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
HPDC
2005
IEEE
16 years 2 hour ago
Increasing application performance in virtual environments through run-time inference and adaptation
Virtual machine distributed computing greatly simplifies the use of widespread computing resources by lowering the abstraction, benefiting both resource providers and users. Tow...
Ananth I. Sundararaj, Ashish Gupta, Peter A. Dinda
ICML
1995
IEEE
16 years 7 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
AIIA
2009
Springer
16 years 1 months ago
Mathematical Symbol Indexing
This paper addresses the indexing and retrieval of mathematical symbols from digitized documents. The proposed approach exploits Shape Contexts (SC) to describe the shape of mathe...
Simone Marinai, Beatrice Miotti, Giovanni Soda
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
16 years 25 days ago
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering
Most research on Internet topology is based on active measurement methods. A major difficulty in using these tools is that one comes across many unresponsive routers. Different m...
Anat Almog, Jacob Goldberger, Yuval Shavitt