| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
The purpose of this research is to investigate methods for flexible and useful Music Information Retrieval. Especially, we have tried to formalize several fundamental methods for observing and analyzing similar music from various viewpoints. The algorithms we have developed based on Pattern Mining (Formal Concept Analysis) and Dense-Subgraph Discovery are 1) Algorithm for similar music retrieval based on colossal frequent patterns, and 2) Algorithm for extracting Top-N largest dense subgraphs based on proper k-plex search. Furthermore, we also have developed 3) Classification algorithm with label modification based on multiple majority votes, and 4) Classification algorithm with dimension reduction based on class-label information.
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