I introduce a new approach to data representation, which reflects the mechanism of mind based on the compartmentalization of brain into two hemispheres. I cribe an abstract device...
The application of the Orthogonal Organized Finite State Machine (OOFSM) to the representation of data acquired by sensor networks is proposed. The OOFSM was proposed in earlier wo...
Brian J. d'Auriol, John Kim, Sungyoung Lee, Young-...
Abstract. The amount of machine oriented data on the web as well as the deployment of agent/Web Services are simultaneously increasing. This poses a service-discovery problem for c...
A novel backwards viewpoint of Principal Component Analysis is proposed. In a wide variety of cases, that fall into the area of Object Oriented Data Analysis, this viewpoint is se...
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...