Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
BLASTn is a ubiquitous tool used for large scale DNA analysis. Detailed profiling tests reveal that the most computationally intensive sections of the BLASTn algorithm are the sc...
Abstract— World data is increasing rapidly, doubling almost every three years[1][2]. To comprehend and use this data effectively, search and recognition (SR) applications will de...
—Target shape matching can be used as a quick and easy surrogate task when evaluating optimization algorithms intended for computationally expensive tasks, such as turbine blade ...
It is now possible to turn almost any object into an interface. What one must do, however is to explore the user’s needs and perceptions in order to create the metaphors necessa...