Computer simulation and digital measuring systems are now generating data of unprecedented size. The size of data is becoming so large that conventional visualization tools are in...
C. Charles Law, Ken Martin, William J. Schroeder, ...
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
In thispapel; the reduction of inherent ambiguities in StructurefromMotion(SW)using inertialdata isaddressed. First, we show that the translation-rotation ambiguity inS'from ...
We propose an information-theoretic clustering approach that incorporates a pre-known partition of the data, aiming to identify common clusters that cut across the given partition...