175 search results - page 23 / 35 » Top-Down Mining of Interesting Patterns from Very High Dimen... |
ICPR
2002
IEEE
15 years 2 months ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
IJCAI
2007
14 years 11 months ago
2007
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
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ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
BIBE
2007
IEEE
15 years 1 months ago
2007
IEEE
In this paper, we investigate a new approach for literature mining. We use frequent subgraph mining, and its generalization topological structure mining, for finding interesting re...