Consistent and flawless communication between humans and machines is the precondition for a computer to process instructions correctly. While machines use well-defined languages an...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
The future Web can be imagined as a life network consisting of resource nodes and semantic relationship links between them. Any node has a life span from birth - adding it to the ...
Frameworks for cooperative multiagent decision making may be divided into those where each agent is assigned a single variable (SVFs) and those where each agent carries an interna...
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...