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» Evaluation of text clustering methods using wordnet
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ISIWI
2000
15 years 1 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...
107
Voted
JUCS
2011
97views more  JUCS 2011»
14 years 7 months ago
An OCR Free Method for Word Spotting in Printed Documents: the Evaluation of Different Feature Sets
: An OCR free word spotting method is developed and evaluated under a strong experimental protocol. Different feature sets are evaluated under the same experimental conditions. In ...
Israel Rios, Alceu de Souza Britto Jr., Alessandro...
198
Voted
AUSDM
2008
Springer
367views Data Mining» more  AUSDM 2008»
15 years 2 months ago
Categorical Proportional Difference: A Feature Selection Method for Text Categorization
Supervised text categorization is a machine learning task where a predefined category label is automatically assigned to a previously unlabelled document based upon characteristic...
Mondelle Simeon, Robert J. Hilderman
86
Voted
ACCV
2010
Springer
14 years 7 months ago
A Method for Text Localization and Recognition in Real-World Images
A general method for text localization and recognition in real-world images is presented. The proposed method is novel, as it (i) departs from a strict feed-forward pipeline and re...
Lukas Neumann, Jiri Matas
118
Voted
CVPR
2008
IEEE
16 years 2 months ago
Correlational spectral clustering
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
Matthew B. Blaschko, Christoph H. Lampert