Results 101 to 110 of about 55,457 (295)
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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
Delineating gender/sex‐related studies through bibliometric analysis
Abstract The multidisciplinary and socially grounded nature of Women's/Gender/Feminist Studies poses unique challenges for bibliometric analysis, as it extends beyond conventional disciplinary boundaries. This paper makes three key contributions: (1) We propose a novel retrieval method for constructing a corpus of scholarly documents in research areas ...
Natsumi S. Shokida +2 more
wiley +1 more source
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia +1 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
Cobalt‐Free Single‐Crystal Cathodes for Next‐Generation Lithium‐Ion Batteries
Cobalt‐free single‐crystal cathodes enhance lithium‐ion battery stability by mitigating fracture, degradation, and phase transitions. This review highlights Ni‐rich layered, Li‐Mn‐rich, spinel, and olivine frameworks, synthesis strategies enabling morphology and defect control, and structural tuning via doping and coatings, offering pathways toward ...
Srinivasan Alagar +5 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
Gaussian mixture gain priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]
We propose a new method to incorporate statistical priors on the solution of the nonnegative matrix factorization (NMF) for single-channel source separation (SCSS) applications.
Erdogan, Hakan +2 more
core
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

