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...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Many data-management applications require integrating data from a variety of sources, where different sources may refer to the same real-world entity in different ways and some ma...
Abstract. In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge o...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...
Surface registration, which transforms different sets of surface data into one common reference space, is an important process which allows us to compare or integrate the surface ...
Lok Ming Lui, Sheshadri R. Thiruvenkadam, Yalin Wa...