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» Minimization and Partitioning Method Reducing Input Sets
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TABLETOP
2008
IEEE
15 years 6 months ago
Adaptive interface for text input on large-scale interactive surfaces
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...
COMPSAC
2010
IEEE
14 years 9 months ago
GenRed: A Tool for Generating and Reducing Object-Oriented Test Cases
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...
Hojun Jaygarl, Kai-Shin Lu, Carl K. Chang
ICIP
2007
IEEE
15 years 6 months ago
Multifocus Image Fusion by Establishing Focal Connectivity
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...
ICDAR
2003
IEEE
15 years 5 months ago
Accelerating Large Character Set Recognition using Pivots
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...
Yiping Yang, Ondrej Velek, Masaki Nakagawa
MCS
2001
Springer
15 years 4 months ago
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
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...
Nikunj C. Oza, Kagan Tumer