Robust estimation for sparse data

Wen Hui Lo*, Sin-Horng Chen

*Corresponding author for this work

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

Robust parameters estimation of sparse data is generally applied to the test cases of time-consuming or high cost data collection. This study concerns with the problem in small sample size which is often encountered in the client data processing for speaker verification. We found that there always exists a coverage mismatch problem between the samples and its population in terms of probability density function (pdf) when the sample size is less than 20. We call this special problem the distribution mismatch (DM) problem. The paper proposes to solve the DM problem through addressing a new coverage-based estimator.

原文English
主出版物標題2008 19th International Conference on Pattern Recognition, ICPR 2008
頁面1-5
頁數5
DOIs
出版狀態Published - 8 十二月 2008
事件2008 19th International Conference on Pattern Recognition, ICPR 2008 - Tampa, FL, United States
持續時間: 8 十二月 200811 十二月 2008

出版系列

名字Proceedings - International Conference on Pattern Recognition
ISSN(列印)1051-4651

Conference

Conference2008 19th International Conference on Pattern Recognition, ICPR 2008
國家United States
城市Tampa, FL
期間8/12/0811/12/08

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