Search Results for author:
Found 3 papers, 0 papers with code
Independent Vector Analysis: Identification Conditions and Performance Bounds
Thus, we provide the additional conditions for when the arbitrary ordering of the sources within each dataset is common.
Independent Component Analysis by Entropy Maximization with Kernels
ICA algorithms cast in the ML framework often deviate from its theoretical optimality properties due to poor estimation of the source PDF.
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
Finally, the max-pooling loss trained LSTM initialized with a cross-entropy pre-trained network shows the best performance, which yields $67. 6\%$ relative reduction compared to baseline feed-forward DNN in Area Under the Curve (AUC) measure.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
