Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
Social network analysis became a common technique used to model and quantify the properties of social interactions. In this paper, we propose an integrated framework to explore th...
In this paper, we introduce a system that synthesizes the emotional audio-visual speech for a 3-D talking agent by adopting the PAD (Pleasure-Arousal-Dominance) emotional model. A ...
Abstract--Today's molecular biology is confronted with enormous amounts of data, generated by new high-throughput technologies, along with an increasing number of biological m...
In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automa...