Several modelsfor handlingvagueand impreciseinformation in decision situations havebeensuggested.In those contexts, various interval methodshaveprevailed, i.e. methodsbasedoninter...
A novel and efficient method is presented for grouping feature points on the basis of their underlying symmetry and characterising the symmetries present in an image. We show how s...
Symmetry is one of the important cues for human and machine perception of the world. For over three decades, automatic symmetry detection from images/patterns has been a standing ...
Minwoo Park, Seungkyu Lee, Po-Chun Chen, Somesh Ka...
Abstract. A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest fra...
Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, ...
Abstract. The past few years have seen significant progress in algorithms and heuristics for both SAT and symmetry detection. Additionally, the thesis that some of SAT's intra...