کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
536593 | 870569 | 2010 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Local within-class accuracies for weighting individual outputs in multiple classifier systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Local within-class accuracies for weighting individual outputs in multiple classifier systems Local within-class accuracies for weighting individual outputs in multiple classifier systems](/preview/png/536593.png)
چکیده انگلیسی
A new method for assigning weights to individual classifiers in a multiple classifier system based on their local within-class accuracies is proposed. First distance metric learning is applied to determine the within-class nearest neighbors for an example to be classified. Then the local within-class accuracy for an individual classifier while classifying this example is judged by its performance on these neighbors. Experiments on a number of data sets with comparisons to two other existing methods show the effectiveness of the proposed method. Practical considerations about its applicability and asymptotic behavior analysis for theoretical justification are also provided.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 31, Issue 2, 15 January 2010, Pages 119–124
Journal: Pattern Recognition Letters - Volume 31, Issue 2, 15 January 2010, Pages 119–124
نویسندگان
Shiliang Sun,