Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
Pre-processing algorithms improve the quality of a compression system by removing unimportant data before encoding. This enhances both the visual quality and coding efficiency of ...
C. Andrew Segall, Passant V. Karunaratne, Aggelos ...
We propose several novel localized algorithms to construct energy efficient routing structures for homogeneous wireless ad hoc networks, where all nodes have same maximum transmis...
—The k nearest neighbor (k-NN) classifier has been extensively used as a nonparametric technique in Pattern Recognition. However, in some applications where the training set is l...
ed Abstract We present two heuristic mesh-partitioning methods, both of which build on the multiple ant-colony algorithm in order to improve the quality of the mesh partitions. The...