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Discriminative filtering is a pattern recognition technique which seeks to maximize the energy of output signal when a pattern is found.
Discriminative filtering is a pattern recognition technique which seeks to maximize the energy of output signal when a pattern is found.
A new technique is proposed for design of the discriminative filters, called adaptive alignment, which incorporated the principal component analysis in ...
Bibliographic details on Discriminative filtering with principal component analysis and adaptive alignment.
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Discriminative filtering is a pattern recognition technique which seeks to maximize the energy of output signal when a pattern is found.
Discriminant analysis is very similar to PCA. The major difference is that PCA calculates the best discriminating components without foreknowledge about groups, ...
Missing: filtering adaptive
Discriminative filtering with principal component analysis and adaptive alignment ... discriminative filters, called adaptive alignment, which incorporated ...
A novel transfer learning method called discriminative feature-based adaptive distribution alignment (DFADA) is proposed, which can extract discriminative ...
Sep 20, 2016 · We propose a novel scale adaptive tracking approach by learning separate discriminative correlation filters for translation and scale estimation ...
In this paper, we propose an effective supervised dimensionality reduction technique, namely discriminant sparsity neighborhood preserving embedding (DSNPE) ...