summary: Difference between revisions

From statwiki
Jump to navigation Jump to search
(Created page with "==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 e...")
 
No edit summary
Line 1: Line 1:
==Introduction
==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.

Revision as of 23:25, 6 July 2013

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.