Abstract. In this paper, we propose a heterogeneous committee machine for face processing including face detection and recognition. Our proposed system consists of two components, ...
Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin ...
We propose a Dynamic Face Recognition Committee Machine (DFRCM) consisting of five well-known state-of-the-art algorithms in this paper. In previous work, we have developed a stat...
In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Face recognition in the presence of pose changes remains a largely unsolved problem. Severe pose changes, resulting in dramatically different appearances, is one of the main difï¬...