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SECOND ORDER ALGORITHM FOR SPARSELY CONNECTED NEURAL NETWORKS
(2016-08-17)
A systematic two-step batch approach for constructing a sparse neural network is presented. Unlike other sparse neural networks, the proposed paradigm uses orthogonal least squares (OLS) to train the network. OLS based ...
Regularized Canonical Correlations in Clustering Sensor Data
(2016-05-10)
In many data acquisition applications such as in sensor networks, the acquired sensor measurements contain information about multiple sources placed at different spatial locations. Such sources could correspond to different ...