2011 Fiscal Year Final Research Report
A study on distance metric learning of data distribution space based on information theoretic criterion
| Project/Area Number |
22800067
|
|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | Waseda University |
|---|
Principal Investigator |
HINO Hideitsu 早稲田大学, 理工学術院, 助教 (10580079)
|
|---|
| Project Period (FY) |
2010 – 2011
|
| Keywords | 統計的学習理論 |
|---|
| Research Abstract |
We developed a method to optimize the distribution of features extracted from a given set of data. The features obtained by the method will follow a distribution, which is suitable for classification task. Though the method is applicable to any classification problem, we applied it to speaker recognition task, and achieved state-of-the-art performance. We also developed information estimators, which quantify the information contents in a datum. We applied the estimators to evaluate the credibility of prediction of solar power generated from solar panel.
|
Research Products
(12 results)
