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149
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MCS
2005
Springer
15 years 8 months ago
2005
Springer
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
136
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IEEEPACT
1999
IEEE
15 years 7 months ago
1999
IEEE
Image processing applications tend to access their data non-sequentially and reuse that data infrequently. As a result, they tend to perform poorly on conventional memory systems ...
159
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ISNN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
135
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NIPS
2008
15 years 4 months ago
2008
Neural activity is non-stationary and varies across time. Hidden Markov Models (HMMs) have been used to track the state transition among quasi-stationary discrete neural states. W...
103
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MODELS
2009
Springer
15 years 9 months ago
2009
Springer