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» Evaluating algorithms that learn from data streams
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107
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CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 1 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
ISMIR
2004
Springer
159views Music» more  ISMIR 2004»
15 years 6 months ago
Towards an Efficient Algorithm for Automatic Score-to-Audio Synchronization
In the last few years, several algorithms for the automatic alignment of audio and score data corresponding to the same piece of music have been proposed. Among the major drawback...
Meinard Müller, Frank Kurth, Tido Röder
SYNASC
2006
IEEE
211views Algorithms» more  SYNASC 2006»
15 years 6 months ago
HTML Pattern Generator--Automatic Data Extraction from Web Pages
Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and reca...
Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Ni...
AI
2011
Springer
14 years 7 months ago
Learning qualitative models from numerical data
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
116
Voted
DAGM
2009
Springer
15 years 7 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters