Results 61 to 70 of about 2,535,217 (348)
Heuristics for exact nonnegative matrix factorization [PDF]
Journal of Global Optimization, 2015 32 pages, 2 figures, 16 ...
Arnaud Vandaele +3 more
openaire +6 more sources
Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Optimization of identifiability for efficient community detection
New Journal of Physics, 2020 Many physical and social systems are best described by networks. And the structural properties of these networks often critically determine the properties and function of the resulting mathematical models.
Hui-Jia Li +3 more
doaj +1 more source
Nonnegative matrix factorization of phonocardiograms for heart rate detection [PDF]
, 2022 openPhonocardiograms (PCGs) are recordings of the sounds and murmurs made by the heart detected through specialized microphones placed on a patient's thorax.
CHINELLATO, ERIK
core
Monotonous (semi-)nonnegative matrix factorization [PDF]
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015 Nonnegative matrix factorization (NMF) factorizes a non-negative matrix into product of two non-negative matrices, namely a signal matrix and a mixing matrix. NMF suffers from the scale and ordering ambiguities. Often, the source signals can be monotonous in nature.
Nirav Bhatt, Arun Ayyar
openaire +2 more sources
Advanced Science, EarlyView.Our study identifies the HDACs‐STAT3 axis as key regulator for M2 macrophage accumulation in DLBCL. We developed Chid@M2pep‐EVs/TP, a pH‐responsive drug delivery system for M2 macrophage specific chidamide administration. By coupling M2‐targeted chidamide with EVs‐mediated delivery, this system reprograms M2 to M1 via HDAC inhibition and STAT3 ...
Bo Dai +15 more
wiley +1 more source
Unsupervised learning of overlapping image components using divisive input modulation [PDF]
, 2009 This paper demonstrates that nonnegative matrix factorisation is mathematically related to a class of neural networks that employ negative feedback as a mechanism of competition. This observation inspires a novel learning algorithm which we call Divisive
De Meyer, Kris +5 more
core +1 more source
Advanced Science, EarlyView.A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi +23 more
wiley +1 more source
Big Data Mining and AnalyticsNonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiveness.
Guosheng Cui +3 more
doaj +1 more source
Nonnegative Matrix Factorization with Transform Learning [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Traditional NMF-based signal decomposition relies on the factorization of spectral data, which is typically computed by means of short-time frequency transform. In this paper we propose to relax the choice of a pre-fixed transform and learn a short-time orthogonal transform together with the factorization.
Dylan Fagot +2 more
openaire +3 more sources