速率失真的单类模型及其在聚类中的应用][A Rate-Distortion One-Class Model and its Applications to Clustering]

速率失真的单类模型及其在聚类中的应用 A Rate-Distortion One-Class Model and its Applications to Clustering


课程网址:	http://videolectures.net/icml08_talukdar_rdo/
主讲教师:	Partha Pratim Talukdar
开课单位:	印度班加罗尔理工学院
开课时间:	2008-08-05
课程语种:	英语
中文简介:	我们研究了一个类分类的问题，其中我们寻求一个规则来分离一个相似的实例子集，类似于大型实例池中的一些正例子。我们发现问题可以根据速率失真权衡自然地制定，可以精确地分析并导致一种有效的算法，该算法与前两种方法很好地竞争。我们还表明，我们的模型可以自然地扩展到聚类问题，其中重要的是去除背景杂波以提高聚类纯度。
课程简介:	We study the problem of one-class classification, in which we seek a rule to separate a coherent subset of instances similar to a few positive examples from a large pool of instances. We find that the problem can be formulated naturally in terms of a rate-distortion tradeoff, which can be analyzed precisely and leads to an efficient algorithm that competes well with two previous one-class methods. We also show that our model can be extended naturally to clustering problems in which it is important to remove background clutter to improve cluster purity.
关键词:	实例子集; 聚类问题; 速率失真权衡
课程来源:	视频讲座网
最后编审:	2019-04-21：lxf
阅读次数:	73

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