A computational model of learning in visual attention is described, and it is shown how it can integrate information over time to form a representation of the visual context. This visual context is subsequently used to guide the focus of attention in a visual search task. Computer simulations shows that the model can learn to use contextual cues when they are available. The performance using co...

Recently, the field of automatic recognition of users’ affective states has gained a great deal of attention. Automatic, implicit recognition of affective states has many applications, ranging from personalized content recommendation to automatic tutoring systems. In this work, we present some promising results of our research in classification of emotions induced by watching music videos. We s...

This paper presents a distributed, dynamic naming mechanism called clue tables for building highly scalable, highly available distributed file systems. The clue tables naming mechanism is distinctive in three aspects. First, it is designed to cope well with the hierarchical structure of the modern large-scale computer networks. Second, it implicitlycarries out load balancing among servers to im...

In this paper the simulation and assessment tool CLUE is described. This tool is able to simulate the performance of parallel programs using the message passing library PVM for communication, run on arbitrary parallel m achines, including PC clusters. CLUE redirects calls to PVM to its own functions, providing an additional layer between an application and PVM. The simulation is driven by the a...