The proposed Monte Carlo technique generates 3D virtual realizations using three coupled algorithms (translation, distribution and growth of cells), and it guarantees a wide variety of virtual microstructures through a series of control factors related to rotation, shrinkage, translation, distribution and growth rates of the cells.
The word recognizer in our Bing search engine effectively does machine translation and learning algorithms, translating what people type to what they probably meant.
In this paper a generic translation algorithm is proposed to translate a restricted natural language query (RNLQ) to a standard query language like SQL (Structured Query Language).
Google, of course, also automatically captions Youtube videos for a number of languages and will happily use its machine translation algorithms to translate them into other languages, too.
Matching of cognominal points is realized by using the invariant features of SIFT algorithm in image translation, rotation, zooming, and affine transformation, and through recognition and comparison of characteristics of high-resolution images in different landsliding periods.
A translation algorithm is developed that has as input the CA algorithms that simulate physical systems and processes, and as output the corresponding VHDL code.
Initially the positions of words within each cloud are ordered at random and the translation algorithm begins training on a dataset of translated sentences.
One could generate suboptimal SQL queries using a fairly naive translation algorithm, and then attempt to optimize the resulting SQL; or one could use a more intelligent translation algorithm with the hopes of generating efficient SQL directly.
The chapter also presents a translation algorithm that exploits translation time information to generate efficient SQL for path expression queries over tree schemas.
The parameters of this translation algorithm are defined by the user and can be automatically mapped into synthesizable VHDL.
