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SADM
2010
123views more  SADM 2010»
14 years 10 months ago
Discriminative frequent subgraph mining with optimality guarantees
The goal of frequent subgraph mining is to detect subgraphs that frequently occur in a dataset of graphs. In classification settings, one is often interested in discovering discr...
Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei H...
ICCV
2009
IEEE
14 years 9 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
IWANN
2009
Springer
15 years 6 months ago
RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...
ICDAR
2009
IEEE
15 years 6 months ago
Text Line Segmentation Based on Morphology and Histogram Projection
Text extraction is an important phase in document recognition systems. In order to segment text from a page document it is necessary to detect all the possible manuscript text reg...
Rodolfo P. dos Santos, Gabriela S. Clemente, Ing R...
IIS
2004
15 years 1 months ago
Automatic Understanding of Signals
Using computers for different task including enhancement, description and evaluation of signals we typically include three steps: signal processing (for obtaining signal of better ...
Ryszard Tadeusiewicz