Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
General graph matching methods often suffer from the lack of mathematical structure in the space of graphs. Using kernel functions to evaluate structural graph similarity allows u...
The discrepancy between integrated circuits' activities in normal functional mode and that in structural test mode has an increasing adverse impact on the effectiveness of ma...
The effect of crosstalk errors is most significant in highperformance circuits, mandating at-speed testing for crosstalk defects. This paper describes a self-test methodology that...