565 search results - page 69 / 113 » Learning from Time-Changing Data with Adaptive Windowing |
CIARP
2006
Springer
13 years 9 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...
ICANN
2003
Springer
14 years 1 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...
MM
2009
ACM
14 years 2 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...
TNN
1998
13 years 7 months ago
1998
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...