A novel framework is introduced for visual event detection. Visual events are viewed as stochastic temporal processes in the semantic concept space. In this concept-centered appro...
Descriptions of reactive systems focus heavily on behavioral aspects, often in terms of scenarios. To cope with the increasing complexity of services provided by these systems, beh...
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Knowledge management (KM) is the research field aimed to create, organize, and store explicit knowledge for easy access and manipulation, whereas e-learning is concerned with del...