We propose a timing-oriented logic optimization technique called Generalized De Morgan (GDM) transform, that integrates gate resizing, net buffering and De Morgan transformation. ...
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
Giorgio Busatto, Gregor Engels, Katharina Mehner, ...
Entropy Guided Transformation Learning (ETL) is a new machine learning strategy that combines the advantages of decision trees (DT) and Transformation Based Learning (TBL). In thi...
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
This paper proposes a gray-scale inverse Hough transform (GIHT) algorithm which is combined with a modified gray-scale Hough transform (GHT). Given only the data of the Hough tran...