The fundamental challenge faced by any visual system within natural environments is the ambiguity caused by the fact that light that falls on the system’s sensors conflates mult...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
This paper introduces a new approach to extend iconbased visualization methods by using a mosaic-based paradigm. We discuss, how image metaphors closely related to the application...
Thomas Nocke, Stefan Schlechtweg, Heidrun Schumann
The paper proposes a novel approach in an attempt to solve the test problem for sequential circuits. Up until now, most of the classical test pattern techniques use a number of al...
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separatel...
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...