Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Wildfires are a frequent summer-time concern for land managers and communities neighboring wildlands throughout the world. Computational simulations have been developed to help an...
William R. Sherman, Michael Penick, Simon Su, Timo...
Abstract. Variational methods for optic flow computation have the reputation of producing good results at the expense of being too slow for real-time applications. We show that re...
Multiplex fluorescent in situ hybridization (M-FISH) is a recently developed chromosome imaging technique where each chromosome class appears to have a distinct color. This techniq...
Petros S. Karvelis, Alexandros T. Tzallas, Dimitri...
In this case study, various ways to partition a code between the microprocessor and FPGA are examined. Discrete image convolution operation with separable kernel is used as the ca...