Da Deng

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The Department of Information Science is one of six departments that make up the Division of Commerce at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research(More)
⎯ A modularised model, based on the Mixture of Experts (ME) algorithm for time series prediction, is introduced. A set of connectionist models learn to be local experts over some phases of the trajectory in the state space, so the trajectory-regression task is divided into some simple ones and precise approximation is expected. The dynamics for tracking the(More)
A lively Dunedin street scene, and a panoramic view of the Southern Alps-two images that might appeal and interest a viewer. But where do people look, and which of those images appears more interesting? In this paper, we are introducing a visual attention model based on MPEG-7 descriptors that creates multi-scale feature maps to detect interest hotspots in(More)
Decision making in a complex, dynamic environment is a very difficult task that requires new techniques of computational intelligence for building adaptive, hybrid intelligent decision support systems (HIDSS). Here, a new approach is proposed based on evolving agents in a dynamic environment. Neural network and rule-based agents are evolved using methods(More)
The Department of Information Science is one of six departments that make up the School of Business at the University of Otago. The department offers courses of study leading to a major in Information Science within the BCom, BA and BSc degrees. In addition to undergraduate teaching, the department is also strongly involved in postgraduate research(More)
Many production peer-to-peer (P2P) streaming systems use content delivery networks (CDN) to protect the user’s quality of experiences. Thus, how to efficiently utilize the capacity of CDN (e.g., which peers receive services from the CDN nodes) is a problem of practical significance. Existing solutions adopt a passive, on-demand approach, which is(More)
Decision making in a complex, dynamically changing environment is a difficult task that requires new techniques of computational intelligence for building adaptive, hybrid intelligent decision support systems (HIDSS). Here, a new approach is proposed based on evolving agents in a dynamic environment. Neural network and rule-based agents are evolved from(More)