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Algorithms for non-negative matrix factorization

D Seung, +1 more
- Vol. 13, pp 556-562
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The article was published on 2001-01-01 and is currently open access. It has received 5015 citations till now. The article focuses on the topics: Non-negative matrix factorization.

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Journal ArticleDOI

Extended nonnegative tensor factorisation models for musical sound source separation.

TL;DR: This paper proposes a new additive synthesis-based approach which allows the use of linear-frequency spectrograms as well as imposing strict harmonic constraints, resulting in an improved model.
Journal ArticleDOI

Automated video program summarization using speech transcripts

TL;DR: A method to automatically generate video summaries using transcripts obtained by automatic speech recognition by dividing the full program into segments based on pause detection and derive a score for each segment, based on the frequencies of the words and bigrams it contains.
Posted ContentDOI

Multi-omic and multi-view clustering algorithms: review and cancer benchmark

TL;DR: This review covers methods developed specifically for multi-omic data as well as generic multi-view methods developed in the machine learning community for joint clustering of multiple data types, and performs an extensive benchmark comparison, providing the first systematic benchmark comparison of leading multi-omics and multiview clustering algorithms.
Journal ArticleDOI

Nonnegative Matrix Factorization for the Identification of EMG Finger Movements: Evaluation Using Matrix Analysis

TL;DR: It is shown, both by simulation and experimental studies, that the proposed algorithm is able to classify ten finger flexions recorded from two sEMG sensors up to 92% accuracy, and is validated with NMF permutation matrix analysis.
Journal ArticleDOI

Transcription and Separation of Drum Signals From Polyphonic Music

TL;DR: A complete drum transcription system is described, which combines information from the original music signal and a drum track enhanced version obtained by source separation, and which integrates a large set of features, optimally selected by feature selection.
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