The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Abstractions in Large Systems William G. Griswold, Member, IEEE, Morison I. Chen, Robert W. Bowdidge, Jenny L. Cabaniss, Van B. Nguyen, and J. David Morgenthaler Restructuring soft...
William G. Griswold, Morison I. Chen, Robert W. Bo...
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
Corruption of data by class-label noise is an important practical concern impacting many classification problems. Studies of data cleaning techniques often assume a uniform label ...
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...