抄録
Offer Organization: Japan Society for the Promotion of Science, System Name: Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C), Category: Grant-in-Aid for Scientific Research (C), Fund Type: -, Overall Grant Amount: - (direct: 2100000, indirect: 630000)
Compression based pattern recognition is an unsupervised data analysis technique which realizes data analysis without prior knowledge about the data to be analyzed. Its primary point is to measure the similarity between two data based on the compression rate. In particular, in order to exploit the standard pattern recognition algorithms such as SVM and k-means, this research deals with compression-based feature spaces in which an object is represented as a compression vector consisting of multiple compression ratios and studies their effective construction. As the main result, by exchanging the words among the compression dictionaries each of which is responsible for one dimension so that they may be more independent one another, we succeeded in improving the pattern recognition accuracy by 7 to 8% as compared with the previous method in literatures.