Finding Concepts of Music Objects with Unexpected Multi-labels Based on Shared Subspace Method
Finding Concepts of Music Objects with Unexpected Multi-labels Based on Shared Subspace Method
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DOI：
10.1109/iiai-aai.2018.00019
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
M. Haraguchi;Yoshiaki Okubo
中科院分区：
文献类型：
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作者：
M. Haraguchi;Yoshiaki Okubo
本文讨论了一种面向音乐数据的检索方法。特别是，我们提出了一个通用的框架，检索意外的对象为一个给定的查询，其中每个数据对象表示为一个特征向量，并分配一个多标签以及。给定一个目标特征矩阵X1和一个目标标号矩阵X2，利用非负共享子空间方法同时分解X1和X2，使得X1近似等于B V，X2近似等于SW，其中基S是基B的一部分（子空间）.这样的共享子空间将标签信息与原始矩阵的特征信息相关联。因此，基于共享子空间，我们可以预测一个多标签的查询特征向量与未知的标签。我们的查询的意外对象被定义为与特征空间中的查询相似，但与标签空间中的查询不同的对象。为了获得这些意想不到的对象，从几个角度的相似性，我们形式化我们的检索任务作为一个问题，找到满足约束w.r.t.意想不到的。我们对从Million Song Dataset Benchmarks创建的音乐片段数据集的实验结果表明，我们实际上可以检测到一个有趣的音乐集群，作为一个正式概念的范围，包括给定音乐查询的一些意想不到的音乐片段。
We discuss in this paper a recommendation-oriented information retrieval for music data. Particularly, we present a general framework of retrieving unexpected objects for a given query, where each data object is represented as a feature vector and assigned a multi-label as well. Given an object-feature matrix X1 and an object-label matrix X2, we simultaneously factorize X1 and X2 as X1 is approximately equal to B V and X2 to S W by means of Nonnegative Shared Subspace Method, where the basis S is a part (subspace) of the basis B. Such a shared subspace associates the label-information with the feature-information of the original matrices. Based on the shared subspace, thus, we can predict a multi-label for a query feature-vector with unknown labels. Our unexpected object for the query is defined as an object which is similar to the query in the feature space, but is apart from the query in the label space. In order to obtain those unexpected objects from several viewpoints of similarity, we formalize our retrieval task as a problem of finding formal concepts satisfying a constraint w.r.t. the unexpectedness. Our experimental result for a dataset of music pieces created from Million Song Dataset Benchmarks shows we can actually detect an interesting music cluster as the extent of a formal concept including some unexpected music pieces for a given music query.