In this paper we present a novel approach to text input on large interactive surfaces using a combination of strategies to resolve the inherent difficulties with text input on su...
Johannes Hirche, Peter Bomark, Mikael Bauer, Pawel...
An important goal of automatic testing techniques, including random testing is to achieve high code coverage with a minimum set of test cases. To meet this goal, random testing res...
Multifocus fusion is the process of unifying focal information from a set of input images acquired with limited depth of field. In this effort, we present a general purpose multif...
Harishwaran Hariharan, Andreas Koschan, Mongi A. A...
This paper proposes a method to accelerate character recognition of a large character set by employing pivots into the search space. We divide the feature space of character categ...
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...