Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
The vertex representation, a new data structure for representing and manipulating orthogonal objects, is presented. Both interiors and boundaries of regions are represented implic...
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...
Underwater sensor networks will find applications in oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, and tact...
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...