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Information Fusion for Multi-Source Data Classification
(2015-12-17)
Multi-source data, either from different sensors or disparate features extracted from the same sensor, are often valuable for data analysis due to their potential for providing complementary information. Effective fusion ...
CLASSIFICATION OF LEAVITT PATH ALGEBRAS USING ALGEBRAIC K-THEORY
(2015-05)
We show that the long exact sequence for the $K$-theory of Leavitt path algebras over row-finite graphs, discovered by Ara, Brustenga, and Corti{\~n}as, extends to Leavitt path algebras of arbitrary countable graphs. Using ...
Using Machine Learning for Automatic Classification of Classical Cepheids
(2015-05)
With the increasing amounts of astronomical data being gathered, it is becoming more crucial for machine learning techniques to be employed for star classification. Classical Cepheid variable stars can be grouped into ...