Incremental Training of a Detector Using Online Sparse Eigendecomposition
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]
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|Source:||IEEE Transactions on Image Processing|
|01_Paisitkriangkrai_Incremental_Training_of_a_2011.pdf||3.85 MB||Adobe PDF||Request a copy|
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