2012 Fiscal Year Final Research Report
New approaches for the analysis ofcomplex time-series using kernel methods.
| Project/Area Number |
23700172
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Intelligent informatics
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| Research Institution | Kyoto University |
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Principal Investigator |
CUTURI Marco 京都大学, 情報学研究科, 准教授 (80597344)
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| Project Period (FY) |
2011 – 2012
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| Keywords | Machine Learning / Kernel Methods |
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| Research Abstract |
Time series are now increasingly complex. Each observation may describe a structured object (an image or a graph for instance) or alternatively a very high dimensional feature vector. The goal of our project is to develop new methods to handle time-series of complex data through kernel methods and optimization methods.
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