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ICDM
2007
IEEE
162views Data Mining» more  ICDM 2007»
14 years 2 months ago
Exploiting Network Structure for Active Inference in Collective Classification
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
Matthew J. Rattigan, Marc Maier, David Jensen, Bin...
ICONIP
2009
13 years 8 months ago
A Rock Structure Recognition System Using FMI Images
Formation Micro Imager (FMI) can directly reflect changes of wall stratum and rock structures. It is also an important method to divide stratum and identify lithology. However, peo...
Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang...
FCSC
2007
130views more  FCSC 2007»
13 years 10 months ago
An improved algorithm for finding community structure in networks with an application to IPv6 backbone network
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...
Yingxin Guo, Ke Xu
ICML
2008
IEEE
14 years 11 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims
HASE
1998
IEEE
14 years 3 months ago
Verification in Concurrent Programming with Petri Nets Structural Techniques
This paper deals with verification of flow control in concurrent programs. We use Ada language model as reference. After translation of Ada programs into Petri nets (named Ada net...
Kamel Barkaoui, Jean-François Pradat-Peyre