941 search results - page 128 / 189 » Adaptive Learning from Evolving Data Streams |
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
132
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
103
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CIARP
2006
Springer
15 years 2 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
83
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ICANN
2003
Springer
15 years 5 months ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...
116
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MM
2009
ACM
15 years 7 months ago
2009
ACM
Automatic video search based on semantic concept detectors has recently received significant attention. Since the number of available detectors is much smaller than the size of h...