PhD thesis: The Role of Hubness in High-dimensional Data Analysis
November 24th, 2013
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On December 18th, 2013 – I am scheduled to present my PhD thesis titled “The Role of Hubness in High-dimensional Data Analysis”.
The thesis discusses the issues involving similarity-based inference in intrinsically high-dimensional data and the consequences of emerging hub points. It integrates the work presented in my journal and conference papers, proposes and discusses novel techniques for designing nearest-neighbor based learning models in many dimensions. Lastly, it mentions potential practical applications and promising future research directions.
I would like to thank everyone who gave me advice and helped in shaping this thesis.
The full text of the thesis is available here.
Categories: Application, Classification, Data Mining, Hubness, Images, Machine Learning, Sensor data, Text, Theory, Visualization