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Incremental Training of a Detector Using Online Sparse Eigendecomposition

Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian

Description

The ability to efficiently and accurately detect objects plays a very crucial role for many computer vision tasks. Recently, offline object detectors have shown a tremendous success. However, one major drawback of offline techniques is that a complete set of training data has to be collected beforehand. In addition, once learned, an offline detector cannot make use of newly arriving data. To alleviate these drawbacks, online learning has been adopted with the following objectives: 1) the...[Show more]

CollectionsANU Research Publications
Date published: 2011
Type: Journal article
URI: http://hdl.handle.net/1885/66490
Source: IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2010.2053548

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