Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
component of the reflection has been considered (2, This paper propose a hierarchical design method of camera and light-source positioning for model based vision. In this method, f...
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha ...
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
Pervasive and ubiquitous computing has the potential to make huge changes in the ways that we will learn throughout our lives. This paper presents a vision for the lifelong user mo...