Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
We present a case study on the design of a heterogeneous architecture for MPEG-2 video decoding. The primary objective of the case study is the validation of the SPADE methodology...
Pieter van der Wolf, Paul Lieverse, Mudit Goel, Da...
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
The focus of this study is to explore why public agencies implement enterprise architecture programs and the interoperability challenges they are faced with when governing these p...