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» Bayesian Information Extraction Network
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ICDAR
2007
IEEE
15 years 7 months ago
On the Use of Lexeme Features for Writer Verification
Document examiners use a variety of features to analyze a given handwritten document for writer verification. The challenge in the automatic classification of a pair of documents ...
A. Bhardwaj, A. Singh, Harish Srinivasan, Sargur N...
142
Voted
IPMU
1992
Springer
15 years 7 months ago
Rule-Based Systems with Unreliable Conditions
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
L. Cardona, Jürg Kohlas, Paul-André Mo...
TNN
2011
142views more  TNN 2011»
14 years 10 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...
157
Voted
INFOCOM
2011
IEEE
14 years 7 months ago
Fine-grained location-free planarization in wireless sensor networks
—Extracting planar graph from network topologies is of great importance for efficient protocol design in wireless ad hoc and sensor networks. Previous techniques of planar topol...
Dezun Dong, Yunhao Liu, Xiangke Liao, Xiang-Yang L...
PAKDD
2010
ACM
146views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Mining Antagonistic Communities from Social Networks
During social interactions in a community, there are often sub-communities that behave in opposite manner. These antagonistic sub-communities could represent groups of people with ...
Kuan Zhang, David Lo, Ee-Peng Lim