To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...
—The analysis of social networks is concentrated especially on uncovering hidden relations and properties of network members (vertices). Most of the current approaches are focuse...
The growing availability of complete genomic sequences from diverse species has brought about the need to scale up phylogenomic analyses, including the reconstruction of large col...
The Computer Vision and Image Processing Laboratory (CVIP Lab) was established in 1994 at the University of Louisville and is committed to excellence in research, teaching and trai...
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...