Connecting the dots in multi-class classification: From nearest subspace to collaborative representation
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Description
We present a novel multi-class classifier that strikes a balance between the nearest-subspace classifier, which assigns a test sample to the class that minimizes the distance between the test sample and its principal projection in the selected class, and a collaborative representation based classifier, which classifies a sample to the class that minimizes the distance between the collaborative components of the test sample by using all training samples from all classes as the dictionary and its...[Show more]
Collections | ANU Research Publications |
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Date published: | 2012 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/29571 |
Source: | A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization |
DOI: | 10.1109/CVPR.2012.6248105 |
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File | Description | Size | Format | Image |
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01_Porikli_Connecting_the_dots_in_2012.pdf | 698.13 kB | Adobe PDF | Request a copy | |
02_Porikli_Connecting_the_dots_in_2012.pdf | 8.59 MB | Adobe PDF | Request a copy |
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