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» A comparative study of two object recognition methods
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LREC
2010
162views Education» more  LREC 2010»
15 years 5 months ago
Text Cluster Trimming for Better Descriptions and Improved Quality
Text clustering is potentially very useful for exploration of text sets that are too large to study manually. The success of such a tool depends on whether the results can be expl...
Magnus Rosell
161
Voted
JMLR
2006
135views more  JMLR 2006»
15 years 3 months ago
Statistical Comparisons of Classifiers over Multiple Data Sets
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
Janez Demsar
119
Voted
IFIP
2007
Springer
15 years 10 months ago
Extending GQM by Argument Structures
Effective methods for metrics definition are of particular importance, as measurement mechanisms are indispensable in virtually any engineering discipline. The paper describes how ...
Lukasz Cyra, Janusz Górski
138
Voted
IEEECIT
2009
IEEE
15 years 10 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 7 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...