The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
This paper proposes a data-driven method for concept-to-text generation, the task of automatically producing textual output from non-linguistic input. A key insight in our approac...
This paper challenges the difficult problem of automatic semantic correspondence between two given shapes which are semantically similar but possibly geometrically very different...
Oscar Kin-Chung Au, Chiew-Lan Tai, Daniel Cohen-Or...
In this paper we present a methodology that is based on SystemC [1] for rapid prototyping to greatly enhance and accelerate the exploration of complex systems to optimize the syst...
This paper describes the framework of the StatCan Daily Translation Extraction System (SDTES), a computer system that maps and compares webbased translation texts of Statistics Can...