Whenever large homogeneous data structures need to be processed in a non-trivial way, e.g. in computational sciences, image processing, or system simulation, high-level array prog...
Using computers for different task including enhancement, description and evaluation of signals we typically include three steps: signal processing (for obtaining signal of better ...
Many computation-intensive iterative or recursive applications commonly found in digital signal processing and image processing applications can be represented by data-flow graph...
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...