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perturbo:一种新的基于拉普拉斯Beltrami算子谱的扰动分类算法

PerTurbo: a new classification algorithm based on the spectrum perturbations of the Laplace-Beltrami operator
课程网址: http://videolectures.net/ecmlpkdd2011_burger_perturbo/  
主讲教师: Thomas Burger
开课单位: 法国南布列塔尼大学
开课时间: 2011-10-03
课程语种: 英语
中文简介:
PerTurbo,一个原始的,非参数的和有效的分类方法在这里提出。在我们的框架中,每一类的歧管的特征在于,其拉普拉斯-Beltrami算,这是评价与涉及图形拉普拉斯经典方法。的分类基准,建立由于这个操作符的谱扰动的大小的量度。第一个实验表明反对的最先进的国家的经典算法良好的性能。而且,从这一措施是派生一个有效的政策设计抽样查询主动学习的环境。收集玩具的例子和真实世界的数据集性能评估这一战略的特质。
课程简介: Perturbo, an original, nonparametric and effective classification method is proposed here. In our framework, each class of manifold is characterized by its Laplace Beltrami operator, which is evaluated with classical Laplace methods involving graphics. The Classification Benchmark establishes a measure of the size of the spectral disturbance due to this operator. The first experiment shows that the classical algorithms of the most advanced countries have good performance. Moreover, an effective policy design sampling query active learning environment is derived from this measure. Collect toy examples and real-world data sets to evaluate the characteristics of this strategy.
关 键 词: 非参数; 拉普拉斯; 经典算法
课程来源: 视频讲座网
最后编审: 2021-08-27:zyk
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