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Recently proposed image representation approaches use sometimes sparse representation models for storage or transmission reasons.
Furthermore, image reconstruction based on sparse representation approaches [19 21] have been intensively studied.
In the same section, a taxonomical classification of shape representation approaches and background for shape distribution is given.
The authors also discuss some existing text representation approaches in terms of features, representation model, and application task.
Over the past years, many face representation approaches such as eigenface [13], fisherface [14], Gabor [11], and local binary pattern (LBP) [15] have been introduced.
In previous work we reported on materials design and property estimation using empirical or ordinal representation approaches (Pao et al., 1999, Pao et al., 2000).
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The commitment to representing the entire organisation has been important and while the Knowledge Centre will always be a showcase of academic excellence, the broad representation approach strengthens the "content offer".
In Section 4, the face recognition experiment using the proposed face representation approach is presented.
An exemplar-based sparse representation approach for voice conversion has been proposed in [18].
We present in Section 3 the proposed edge-based Gabor face representation approach.
The environment representation approach and the transmission effect calculation method were elaborated.
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