10874 search results - page 154 / 2175 » An Improvement in Sugeno-Yasukawa Modeler |
152
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IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
252
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ICIP
2001
IEEE
16 years 8 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
177
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CSL
1998
Springer
15 years 6 months ago
1998
Springer
In this paper, we propose parameter estimation techniques for mixture density polynomial segment models (MDPSMs) where their trajectories are specified with an arbitrary regressi...
164
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PCM
2007
Springer
16 years 18 days ago
2007
Springer
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
156
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ICAS
2006
IEEE
16 years 16 days ago
2006
IEEE
— The development of applications that target dynamic networks often adresses the same difficulties. Since the underlying network topology is unstable, the application has to ha...