Suchergebnisse - Frobenius-norm quantized nonnegative matrix factorization algorithm*

Quantized Nonnegative Matrix Factorization

Autoren: de Fréin, Ruairí

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

Schlagwörter: 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

Dateibeschreibung: electronic

Zugangs-URL: 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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Quelle: Multimedia Tools & Applications; Jun2018, Vol. 77 Issue 11, p14207-14239, 33p

Schlagwörter: CONTENT-based image retrieval, GAUSSIAN mixture models, FACTORIZATION, NONNEGATIVE matrices, SIMILARITY (Geometry), CONSTRAINT programming, SPARSE matrices

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Quelle: MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II; 2016, p3-14, 12p

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

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

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Autoren: Nguyen, Duc Minh Tsiligianni, Evaggelia Deligiannis, Nikos

Quelle: IEEE Signal Processing Letters; May2018, Vol. 25 Issue 5, p720-724, 5p

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Quelle: PLoS ONE; 11/29/2018, Vol. 13 Issue 11, p1-22, 22p

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Modeling traffic motion patterns via Non-negative Matrix Factorization.

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Quelle: ACM Transactions on Information Systems; 2022, Vol. 40 Issue 2, p1-36, 36p

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Quelle: Multimedia Tools & Applications; Nov2018, Vol. 77 Issue 21, p28665-28683, 19p

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Quelle: IEEE Transactions on Multimedia; Jan2012, Vol. 14 Issue 1, p102-110, 9p

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Autoren: Li, Zechao Tang, Jinhui Mei, Tao

Quelle: IEEE Transactions on Pattern Analysis & Machine Intelligence; Sep2019, Vol. 41 Issue 9, p2070-2083, 14p

Schlagwörter: CONTENT-based image retrieval, VERSTEHEN, IMAGE retrieval, TAGS (Metadata), ASSIGNMENT problems (Programming), EMBEDDINGS (Mathematics)