| Abstract
|
<p>Feature set decomposition through … <p>Feature set decomposition through cluster-based partitioning is the subject of this study. Approach is applied for the detection of mild laryngeal disorder from acoustic parameters of human voice using random forest (RF) as a base classier. Observations of sustained phonation (audio recordings of vowel /a/) had clinical diagnosis and severity level (from 0 to 3), but only healthy (severity 0) and mildly pathological (severity 1) cases were used. Diverse feature set (made of 26 variously sized subsets) was extracted from the voice signal. Feature-and decision-level fusions showed improvement over the best individual feature subset, but accuracy of fusion strategies did not differ signicantly. To boost accuracy of decision-level fusion, unsupervised decomposition for ensemble design was proposed. Decomposition was obtained by feature-space re-partitioning through clustering. Algorithms tested: a) basic k-Means; b) non-parametric MeanNN; c) adaptive anity propagation. Clustering by k-Means signicantly outperformed feature- and decision-level fusions.</p>ure- and decision-level fusions.</p>
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| Author
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Evaldas Vaiciukynas +
, Antanas Verikas +
, Marija Bacauskiene +
, Adas Gelzinis +
, Zvi Kons +
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| Conference
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20th International Conference on Soft Computing MENDEL 2014, Brno, Czech Republic, June 25 - 27, 2014
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| DOI
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http://dx.doi.org/10.13140/2.1.2800.4481 +
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| Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:748735
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| EndPage
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264 +
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| Journal
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The MENDEL Soft Computing journal : International Conference on Soft Computing MENDEL +
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| PublicationType
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Journal Paper +
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| StartPage
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259 +
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| Title
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Enhancing decision-level fusion through cluster-based partitioning of feature set +
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| Year
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2014 +
|
| Has queryThis property is a special property in this wiki.
|
Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
, Publications:Enhancing decision-level fusion through cluster-based partitioning of feature set +
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| Categories |
Publication +
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| Modification dateThis property is a special property in this wiki.
|
30 September 2016 20:40:06 +
|
