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» Minimization and Partitioning Method Reducing Input Sets
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TABLETOP
2008
IEEE
16 years 7 days 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
15 years 3 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
16 years 5 days 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 11 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 10 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