—We propose to use various trellis structures to characterize different types of insertion and deletion channels. We start with binary independent and identically distributed (i....
Jun Hu, Tolga M. Duman, M. Fatih Erden, Aleksandar...
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
We propose a parallel global routing algorithm that concurrently processes routing subproblems corresponding to rectangular subregions covering the chip area. The algorithm uses a...
Tai-Hsuan Wu, Azadeh Davoodi, Jeffrey T. Linderoth
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...