The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...
Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero,...
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...
Issues of digital preservation of shapes and internal structures of historical cultural objects are discussed. An overview of existing approaches to digital preservation related t...
Carl Vilbrandt, Galina Pasko, Alexander A. Pasko, ...