A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
In this article, theories of human judgement and decision making are reviewed and their use by library and information science researchers examined. A different perspective on jud...
Thousands of images are generated every day, which implies the necessity to classify, organise and access them using an easy, faster and efficient way. Scene classification, the ...
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
Abstract. Recent experimental results on spike-timingdependent plasticity (STDP) and heterosynaptic interaction in various systems have revealed new temporal and spatial properties...