Results 71 to 80 of about 112,822 (316)
Non-Negative Matrix Factorizations for Multiplex Network Analysis [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Networks have been a general tool for representing, analyzing, and modeling relational data arising in several domains. One of the most important aspect of network analysis is community detection or network clustering. Until recently, the major focus have been on discovering community structure in single (i.e., monoplex) networks.
Vladimir Gligorijevic +2 more
openaire +5 more sources
Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization [PDF]
, 2014 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
FEBS Letters, EarlyView.Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Frontiers in Neurorobotics, 2020 Microexpression is usually characterized by short duration and small action range, and the existing general expression recognition algorithms do not work well for microexpression.
Junli Gao +4 more
doaj +1 more source
Multifrontal Non-negative Matrix Factorization
, 2020 Non-negative matrix factorization (Nmf) is an important tool in high-performance large scale data analytics with applications ranging from community detection, recommender system, feature detection and linear and non-linear unmixing. While traditional Nmf works well when the data set is relatively dense, however, it may not extract sufficient structure
Ramakrishnan Kannan, Piyush Sao
openaire +3 more sources
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization [PDF]
, 2012 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
Imeglimin attenuates liver fibrosis by inhibiting vesicular ATP release from hepatic stellate cells
FEBS Letters, EarlyView.Imeglimin, at clinically relevant concentrations, inhibits vesicular ATP accumulation and release from hepatic stellate cells, thereby attenuating purinergic signaling and reducing fibrogenic activation. This mechanism reveals a newly identified antifibrotic action of imeglimin beyond glycemic control.
Seiji Nomura +8 more
wiley +1 more source
KOMPRESI DAN PENGENALAN CITRA WAJAH DENGAN PENDEKATAN NON-NEGATIVE MATRIX FACTORIZATION [PDF]
, 2012 KOMPRESI DAN PENGENALAN CITRA WAJAH DENGAN PENDEKATAN NON-NEGATIVE MATRIX FACTORIZATION - Face recognition, kompresi, Non-negative Matrix Factorization, Principal Component Analysis, Eigenface, Computer ...
BENNY KURNIAWAN USODO, FICTOR +2 more
core
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Ordinal Non-negative Matrix Factorization for Recommendation
, 2020 Accepted for publication at ICML ...
Gouvert, Olivier +2 more
openaire +3 more sources