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Eftekhari et al., 2016 - Google Patents

SNIPE for memory-limited PCA from incomplete data

Eftekhari et al., 2016

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Document ID
15273516673293331661
Author
Eftekhari A
Balzano L
Yang D
Wakin M
Publication year

External Links

Snippet

The linear subspace model is pervasive in science and engineering and particularly in large datasets which are often incomplete due to missing measurements and privacy issues. Therefore, a critical problem in modeling is to develop algorithms for estimating a low …
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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis

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