Standard practice in quantitative structural neuroimaging is a segmentation into brain tissue, subcortical structures, fluid space and lesions followed by volume calculations of gr...
Guido Gerig, Martin Styner, Martha Elizabeth Shent...
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
Background: In structural genomics, an important goal is the detection and classification of protein–protein interactions, given the structures of the interacting partners. We h...
Guillaume Launay, Raul Mendez, Shoshana J. Wodak, ...