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DIS
2006
Springer
15 years 1 months ago
Kalman Filters and Adaptive Windows for Learning in Data Streams
We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this i...
Albert Bifet, Ricard Gavaldà
78
Voted
ICIP
2005
IEEE
15 years 11 months ago
Approximate separable 3D anisotropic Gauss filter
Anisotropic Gaussian filters are useful for adaptive smoothing and feature extraction. In our application, micro - tomographic images of fibers were smoothed by anisotropic Gaussi...
Oliver Wirjadi, Thomas M. Breuel
94
Voted
DAGM
2007
Springer
15 years 3 months ago
Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces
Research on EEG based brain-computer-interfaces (BCIs) aims at steering devices by thought. Even for simple applications, BCIs require an extremely effective data processing to wo...
Christian Liefhold, Moritz Grosse-Wentrup, Klaus G...
SIAMCO
2000
138views more  SIAMCO 2000»
14 years 9 months ago
Adaptive Image Reconstruction Using Information Measures
We present a class of nonlinear adaptive image restoration filters which may be steered to preserve sharp edges and contrasts in the restorations. From a theoretical point of view ...
Ulrike Hermann, Dominikus Noll