— The applicability of complex networks of spiking neurons as a general purpose machine learning technique remains open. Building on previous work using macroscopic exploration o...
We introduce a method for recovering the spatial and temporal alignment between two or more views of objects moving over a ground plane. Existing approaches either assume that the...
Walter Nunziati, Jonathan Alon, Stan Sclaroff, Alb...
We propose a theory that gives formal semantics to word-level alignments defined over parallel corpora. We use our theory to introduce a linear algorithm that can be used to deriv...
Michel Galley, Mark Hopkins, Kevin Knight, Daniel ...
Background: Bisulfite sequencing using next generation sequencers yields genome-wide measurements of DNA methylation at single nucleotide resolution. Traditional aligners are not ...
Background: Comparing related structures and viewing the structures in the context of sequence alignments are important tasks in protein structure-function research. While many pr...
Elaine C. Meng, Eric F. Pettersen, Gregory S. Couc...