Background: Despite the widespread usage of DNA microarrays, questions remain about how best to interpret the wealth of gene-by-gene transcriptional levels that they measure. Rece...
Nathan L. Tintle, Aaron A. Best, Matthew DeJongh, ...
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
Level set methods have been widely used in image processing and computer vision. In conventional level set formulations, the level set function typically develops irregularities du...
Chunming Li, Chenyang Xu, Changfeng Gui, Martin D....
In this paper pivoting M-tree (PM-tree) is introduced, a metric access method combining M-tree with the pivot-based approach. While in M-tree a metric region is represented by a hy...
Recovering the three-dimensional (3D) object shape lies as an unresolved and active research topic on the crosssection of computer vision, photogrammetry and bioinformatics. Altho...