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» Clustering Irregular Shapes Using High-Order Neurons
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NECO
2000
55views more  NECO 2000»
13 years 4 months ago
Clustering Irregular Shapes Using High-Order Neurons
Hod Lipson, Hava T. Siegelmann
HYBRID
1998
Springer
13 years 9 months ago
High Order Eigentensors as Symbolic Rules in Competitive Learning
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
Hod Lipson, Hava T. Siegelmann
ICASSP
2011
IEEE
12 years 8 months ago
Joint modeling of observed inter-arrival times and waveform data with multiple hidden states for neural spike-sorting
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
Brett Matthews, Mark Clements
ICPR
2002
IEEE
14 years 5 months ago
Potential-Based Hierarchical Clustering
When performing hierarchical clustering, some metric must be used to determine the similarity between pairs of clusters. Traditional similarity metrics either can only deal with s...
Shuming Shi, Guangwen Yang, Dingxing Wang, Weimin ...
IMR
2004
Springer
13 years 10 months ago
Smoothing and Adaptive Redistribution for Grids with Irregular Valence and Hanging Nodes
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...
Larisa Branets, Graham F. Carey