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This paper presents some performance results obtained from a new Beowulf cluster, the Helix, built at Massey University, Auckland funded by the Allan Wilson Center for Evolutionary Ecology. Issues concerning network latency and the effect of the switching fabric and network topology on performance are discussed. In order to assess how the system performed(More)
We propose a mixed structure to form cascades for AdaBoost classifiers, where parallel strong classifiers are trained for each layer. The structure allows for rapid training and guarantees high hit rates without changing the original threshold. We implemented and tested the approach for two datasets from UCI [1], and compared results of binary classifiers(More)
Parallel computing at all levels is becoming important in all devices and not least in mobile and embedded systems. Many wireless, mobile and deployable devices make use of the ARM CPU and its variants. We report on investigations into measuring instruction level parallelism on the ARM processor and on characterising the fine grained parallelism of four(More)
There is a large body of evidence that demonstrates the practicable use of moment invariants in real-time computer vision applications. Object detection, recognition and tracking are some of them, to name a few. However, the efficacy of moment invariants is highly susceptible to varying illumination conditions, which is inherent in real-world applications.(More)
Digital colour cameras are dramatically falling in price, making them affordable for ubiquitous appliances in many applications. An attempt to use colour information reveals a significant problem that usually escapes our awareness. Due to the adaptive nature of the human visual system in most cases we do not recognise most changes in illumination(More)