Results 91 to 100 of about 54,863 (259)
Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional models subject to the requirement that data can only be added, never subtracted.
Leo Taslaman, Björn Nilsson
doaj +1 more source
Topic supervised non-negative matrix factorization [PDF]
Topic models have been extensively used to organize and interpret the contents of large, unstructured corpora of text documents. Although topic models often perform well on traditional training vs.
MacMillan, Kelsey, Wilson, James D.
core +2 more sources
Adaptive Noise Reduction for Sound Event Detection Using Subband-Weighted NMF †
Sound event detection in real-world environments suffers from the interference of non-stationary and time-varying noise. This paper presents an adaptive noise reduction method for sound event detection based on non-negative matrix factorization (NMF ...
Qing Zhou, Zuren Feng, Emmanouil Benetos
semanticscholar +1 more source
Intraspecific variation of cochlear morphology in bowhead and beluga whales
Abstract The bony labyrinth of the petrosal bone, a distinctive feature of mammal skulls, is often identified in micro‐computed tomography imaging to infer species' physiological and ecological traits. When done as part of a comparative study, one individual specimen is normally considered representative of a species, and intraspecific variation is ...
John Peacock, J. G. M. Thewissen
wiley +1 more source
Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization [PDF]
Nonnegative matrix factorization (NMF) has been successfully applied to many areas for classification and clustering. Commonly-used NMF algorithms mainly target on minimizing the $l_2$ distance or Kullback-Leibler (KL) divergence, which may not be ...
Li, Le +4 more
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
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization [PDF]
The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012) turns non-negative matrix factorization (NMF) into a tractable problem. Recently, a new class of provably-correct NMF algorithms have emerged under this assumption.
Kambadur, Prabhanjan +2 more
core
Text embedding plays a crucial role in natural language processing (NLP). Among various approaches, nonnegative matrix factorization (NMF) is an effective method for this purpose.
Mingming Li +3 more
doaj +1 more source
Ghostbusters: A Parts-based NMF algorithm [PDF]
An exact nonnegative matrix decomposition algorithm is proposed. This is achieved by 1) Taking a nonlinear approximation of a sparse real-valued dataset at a given tolerance-to-error constraint, c; Choosing an arbitrary lectic ordering on the rows or column entries; And, then systematically applying a closure operator, so that all closures are selected.
openaire +1 more source
Abstract Understanding a population's distribution depends on observing the presence and movement of individuals throughout their range. For highly mobile marine species, these observations typically rely on high effort monitoring programs. Tracking enough individuals to understand trends in movement behavior is not always logistically feasible, and ...
Abigail M. Kreuser +3 more
wiley +1 more source

