We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Abstract. Similarity search in large multimedia databases requires efficient query processing based on suitable similarity models. Similarity models consist of a feature extraction...
Information visualisation exploits the natural perceptual capabilities of the decisionfacilitate the rapid assimilation and analysis of abstract, complex and often voluminous info...
Tim Pattison, Rudi Vernik, Daniel Goodburn, Matthe...
Psychophysical studies suggest the existence of specialized detectors for component motion patterns (radial, circular, and spiral), that are consistent with the visual motion prop...
Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...