Výsledky vyhľadávania - Frobenius-norm quantized nonnegative matrix factorization algorithm

Quantized Nonnegative Matrix Factorization

Autori: de Fréin, Ruairí

Zdroj: EOLAS International Conference on Digital Signal Processing, DSP. :1-6

Predmety: encoding, iterative methods, learning (artificial intelligence), matrix decomposition, quantisation (signal), Frobenius-norm quantized nonnegative matrix factorization algorithm, QNMF, adaptive quantization levels, decomposition rank of interest, element-wise quantization constraints, encoding techniques, extended NMF iteration, factor signal values set, learning algorithm, matrix decomposition task, outer quantization optimization, post factorization quantization, quantization residual, quasifixed quantization levels, rank reduction, signal compaction, signal-to-noise-ratios, Approximation methods, Convergence, Digital signal processing, Matrix decomposition, Optimization, Quantization (signal), Signal processing algorithms, low rank, nmf, quantization, Computer Science, Datalogi

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173813
https://kth.diva-portal.org/smash/get/diva2:854999/FULLTEXT01.pdf

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Zdroj: SpringerPlus; 11/22/2016, Vol. 5 Issue 1, p1-20, 20p

Predmety: HASHING, IMAGE processing, NONNEGATIVE matrices, IMAGE retrieval, MULTIMEDIA system security

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