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Cluster analysis / Fisher kernel / Information retrieval / Gaussian function / Mixture model / Kernel / Dirac delta function / Expectation–maximization algorithm / Support vector machine / Statistics / Non-parametric statistics / Statistical classification


Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data∗ Ashok N. Srivastava, Ph.D.† September 15, 2003 This paper was submitted to the 2004 SIAM Data Mining Conference on September 15, 2003.
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Document Date: 2006-05-22 00:23:38

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Neural Information Processing Systems / Cambridge University Press / Neural Networks / /

Country

Greenland / /

Currency

pence / /

Facility

University of California Santa Cruz / Research Institute of Advanced Computer Science / /

IndustryTerm

direct search approach / k-means algorithm / protine processing / satellite-imaging / satellite data / optimization algorithm / inner product / inner products / satellite image / linear algorithms / direct search / dot product / data mining / outer product / temperature products / mining / detection algorithms / em algorithm / mixture network / unsupervised learning algorithms / cloud detection algorithms / /

Organization

Cambridge University / Institute of Advanced Computer Science / University of California Santa Cruz / NASA Ames Research Center / National Aeronautics and Space Administration / /

Person

Julienne Stroeve / Density Kernel / Nikunj Oza / Ashok N. Srivastava / Bill Macready / /

Position

input space Pm / Prime Minister / model for simplicity / domain knowledge Pm / Gaussian Mixture Model for the same region / Acknowledgements The author / Fisher / probabilistic models Pm / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

C / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / the Expecta6 Review / Journal of Artificial Intelligence Research / /

Technology

Mixture Density Mercer Kernel algorithm / k-means algorithm / artificial intelligence / i=1 k=1 algorithm / Linux / cloud detection algorithms / dual Xeon processors / Data Mining / Machine Learning Technologies / detection algorithms / machine learning / unsupervised learning algorithms / EM algorithm / optimization algorithm / /

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