Výsledky vyhledávání - "Frobenius-norm quantized nonnegative matrix factorization algorithm"

Quantized Nonnegative Matrix Factorization

Autoři: de Fréin, Ruairí

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

Témata: 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 souboru: electronic

Přístupová 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