Results 101 to 110 of about 54,863 (259)
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MIDI
openaire +1 more source
Shifted NMF with Group Sparsity for Clustering NMF Basis Functions [PDF]
Recently, Non-negative Matrix Factorisation (NMF) has found application in separation of individual sound sources. NMF decomposes the spectrogram of an audio mixture into an additive parts based representation where the parts typically correspond to individual notes or chords. However, there is a need to cluster the NMF basis functions to their sources.
Jaiswal, Rajesh +3 more
openaire
Abstract Background Clinical outcome assessments (COAs) are essential for evaluating symptom severity, treatment response, and disease progression in Parkinson's disease (PD). As clinical knowledge evolves, it is necessary to revisit the recommendation status on the COAs to ensure their continued relevance and validity. Objectives To provide an updated
Evita Papathoma +14 more
wiley +1 more source
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing [PDF]
Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning because it automatically extracts meaningful features through a sparse and part-based representation.
Gillis, Nicolas
core
Accelerating Nonnegative Matrix Factorization Algorithms using Extrapolation
In this paper, we propose a general framework to accelerate significantly the algorithms for nonnegative matrix factorization (NMF). This framework is inspired from the extrapolation scheme used to accelerate gradient methods in convex optimization and ...
Ang, Andersen Man Shun, Gillis, Nicolas
core +1 more source
Abstract Background Microscopic colitis (MC) typically presents with chronic, non‐bloody watery diarrhea. Diagnosis requires endoscopy with colonic mucosal biopsies. The etiology is multifactorial, with several medications implicated, although only a few cases have been attributed to oral levodopa/dopa‐decarboxylase inhibitor (LDDCI) therapy.
Romana Hintner +10 more
wiley +1 more source
Nonnegative matrix factorization (NMF) is a powerful tool for hyperspectral unmixing (HU). This method factorizes a hyperspectral cube into constituent endmembers and their fractional abundances.
Li Sun +3 more
doaj +1 more source
Multilayer Structured NMF for Spectral Unmixing of Hyperspectral Images
One of the challenges in hyperspectral data analysis is the presence of mixed pixels. Mixed pixels are the result of low spatial resolution of hyperspectral sensors. Spectral unmixing methods decompose a mixed pixel into a set of endmembers and abundance
Ghassemian, Hassan, Rajabi, Roozbeh
core +1 more source
Fragment‐Block: A Novel Approach for Managing Variability in Software Product Lines
ABSTRACT Objective Changes in the functionality of a software product line (SPL) can generate various issues in the SPL source code. Their complexity depends primarily on the amount of changes in the SPL source code and the internal mechanisms for managing variability. Further, modern development frameworks rely on a variety of artefacts besides source
Junior Cupe Casquina, Leonardo Montecchi
wiley +1 more source

