summary
Introduction
This paper tries to propose a method to learn mappings from high dimensional data to binary codes. One of the main advantages of using binary space is one can do exact KNN classification in sublinear time.
This paper tries to propose a method to learn mappings from high dimensional data to binary codes. One of the main advantages of using binary space is one can do exact KNN classification in sublinear time.