We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
We develop a method for performing boolean convolutions efficiently in word RAM model of computation, having a word size of w = Ω(log n) bits, where n is the input size. The tech...
Many object-oriented methods have assumed classbased approaches, without considering prototype-based ones. Some authors, while admitting prototypes as a useful concept, only envis...
Birgitte Krogh, Sean Levy, Allen H. Dutoit, Eswara...
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
—This paper analyzes the mechanism of Industry Oriented Education of Ireland, especially in DIT and extracts useful experience to the education process of pilot software schools ...