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SADM
2010
123views more  SADM 2010»
15 years 4 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
15 years 4 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
16 years 1 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
16 years 1 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 8 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