773 search results - page 52 / 155 » Kernel Change-point Analysis |
NIPS
2008
14 years 11 months ago
2008
Object matching is a fundamental operation in data analysis. It typically requires the definition of a similarity measure between the classes of objects to be matched. Instead, we...
NIPS
2008
14 years 11 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
CGI
2006
IEEE
15 years 1 months ago
2006
IEEE
In this paper, we apply Nystr
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MM
2010
ACM
14 years 10 months ago
2010
ACM
This paper proposes a new framework to formulate the problem of rushes video summarization as an unsupervised learning problem. We pose the problem of video summarization as one o...
JMLR
2010
14 years 4 months ago
2010
Fisher linear discriminant analysis (FDA) and its kernel extension--kernel discriminant analysis (KDA)--are well known methods that consider dimensionality reduction and classific...