1138 search results - page 1 / 228 » Scale-Time Kernels and Models |
SCALESPACE
2001
Springer
13 years 9 months ago
2001
Springer
Receptive field sensitivity profiles of visual front-end cells in the LGN and V1 area in intact animals can be measured with increasing accuracy, both in the spatial and temporal...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
AAAI
2012
11 years 7 months ago
2012
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...