Combination of linear regression classification and collaborative representation classification

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Combination of linear regression classification and collaborative representation classification

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wetenschappelijk artikel

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наукова стаття, опублікована в березні 2014

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Combination of linear regressi ...... representation classification

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Combination of linear regressi ...... representation classification

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Combination of linear regressi ...... representation classification

@en

Combination of linear regressi ...... representation classification

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Combination of linear regressi ...... representation classification

@en

Combination of linear regressi ...... representation classification

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P1476

Combination of linear regressi ...... representation classification

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P2093

Dapeng Zhang

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Faqiang Wang

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Hongzhi Zhang

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Jingdong Liu

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Kuanquan Wang

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Yan Chen

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P2860

For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution

Linear regression for face recognition.

Eigenfaces for recognition

Nonlocally centralized sparse representation for image restoration.

Image super-resolution via sparse representation.

Robust face recognition via sparse representation.

Image denoising via sparse and redundant representations over learned dictionaries.

Two-dimensional PCA: a new approach to appearance-based face representation and recognition.

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

The Dantzig selector: Statistical estimation when p is much larger than n

P2888

s00521-014-1564-6

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833-838

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scholarly article

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10.1007/S00521-014-1564-6

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3-4

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P577

2014-03-22T00:00:00Z

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P921

collaboration