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» Ink recognition based on statistical classification methods
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111
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ISMB
1993
15 years 4 months ago
Detection of Correlations in tRNA Sequences with Structural Implications
Using a flexible representation of biological sequences, we have performed a comparative analysis of 1208 known tRNA sequences. We believe we our technique is a more sensitive met...
Tod M. Klingler, Douglas L. Brutlag
174
Voted
BMCBI
2011
14 years 6 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
135
Voted
ICDAR
2003
IEEE
15 years 8 months ago
Towards Automatic Video-based Whiteboard Reading
As whiteboards have become a popular tool in meeting rooms, there has been a growing interest in making use of the whiteboard as a user interface for human computer interaction. T...
Markus Wienecke, Gernot A. Fink, Gerhard Sagerer
153
Voted
AMTA
2004
Springer
15 years 8 months ago
A Fluency Error Categorization Scheme to Guide Automated Machine Translation Evaluation
Abstract. Existing automated MT evaluation methods often require expert human translations. These are produced for every language pair evaluated and, due to this expense, subsequen...
Debbie Elliott, Anthony Hartley, Eric Atwell
151
Voted
IDA
2006
Springer
15 years 2 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire