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DAS
2008
Springer
14 years 11 months ago
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
A robust segmentation is the most important part of an automatic character recognition system (e.g. document processing, license plate recognition etc.). In our contribution we pr...
Erik Rodner, Herbert Süße, Wolfgang Ort...
AAAI
2010
14 years 11 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
IFIP12
2008
14 years 11 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
IJCAI
2007
14 years 11 months ago
Locating Complex Named Entities in Web Text
Named Entity Recognition (NER) is the task of locating and classifying names in text. In previous work, NER was limited to a small number of predefined entity classes (e.g., peop...
Doug Downey, Matthew Broadhead, Oren Etzioni
PAKM
2008
14 years 11 months ago
Classifying Digital Resources in a Practical and Coherent Way with Easy-to-Get Features
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
Chong Chen, Hongfei Yan, Xiaoming Li