A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
In the research described here, we have constructed at tightly coupled set of methods for monitoring, steering, and applying visual analysis to large scale simulations. This work ...
Yves Jean, Thomas Kindler, William Ribarsky, Weimi...
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
In order to perform daily maintenance and repair tasks in complex electrical and mechanical systems, technicians commonly utilize a large number of diagrams and documents detailin...
SungYe Kim, Insoo Woo, Ross Maciejewski, David S. ...