Abstract. A representation of a three-dimensional object is autonomously learned from a sequence of the rotating object. The representation consists of single views in form of grap...
Gabriele Peters, Christian Eckes, Christoph von de...
Program analysis and optimizationcan be speeded upthrough the use of the dependence flow graph (DFG), a representation of program dependences which generalizes def-use chains and...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
The composition of services that are indexed in a large-scale service directory often involves many complex queries issued by the service composition algorithm to the directory. Th...
Biological sequence similarity analysis presents visualization challenges, primarily because of the massive amounts of discrete, multi-dimensional data. Genomic data generated by ...
Ed Huai-hsin Chi, Phillip Barry, Elizabeth Shoop, ...