—We present a novel and effective algorithm for affinely skewed rotation symmetry group detection from real-world images. We define a complete skewed rotation symmetry detectio...
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
Abstract: Due the multiplicity of loci of control, a main issue distributed systems have to cope with lies in the uncertainty on the system state created by the adversaries that ar...
Abstract--Due to technology or policy constraints, communications across network domains usually require the intervention of gateways, and their proper deployment is crucial to the...
Ting He, Kang-Won Lee, Nikoletta Sofra, Kin K. Leu...
Abstract. Association rule mining algorithms such as Apriori were originally developed to automatically detect patterns in sales transactions and were later on also successfully ap...