We present a novel local region approach for statistically characterizing appearance in the context of medical image segmentation via deformable models. Our appearance model refl...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
— Existing human performance taxonomies which mostly can answer the question “what factors could affect the result” rather than “why it happened”, are usually used to ana...
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
We develop a multi-level selection model in the framework of indirect reciprocity. Using two levels of selection, one at the individual level and another at the group level, we pro...
Francisco C. Santos, Fabio A. C. C. Chalub, Jorge ...
Formal program verification often requires creating a model of the program and running it through a model-checking tool. However, this model-creation step is itself error prone, t...
Salman Pervez, Ganesh Gopalakrishnan, Robert M. Ki...