Results 31 to 40 of about 7,174 (250)

Adaptive Graph Regularization Discriminant Nonnegative Matrix Factorization for Data Representation

IEEE Access, 2019
Nonnegative matrix factorization, as a classical part-based representation method, has been widely used in pattern recognition, data mining and other fields.
Lin Zhang, Zhonghua Liu, Lin Wang, Jiexin Pu   +3 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

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, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

On the Probabilistic Latent Semantic Analysis Generalization as the Singular Value Decomposition Probabilistic Image

Journal of Statistical Theory and Applications (JSTA), 2020
The Probabilistic Latent Semantic Analysis has been related with the Singular Value Decomposition. Several problems occur when this comparative is done.
Pau Figuera Vinué, Pablo García Bringas   +1 more
doaj   +1 more source

Reverse annealing for nonnegative/binary matrix factorization.

PLoS ONE, 2021
It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm performed best for quick, approximate answers, but performance rapidly ...
John Golden, Daniel O'Malley
doaj   +1 more source

Nonnegative Unimodal Matrix Factorization

, 2021
We introduce a new Nonnegative Matrix Factorization (NMF) model called Nonnegative Unimodal Matrix Factorization (NuMF), which adds on top of NMF the unimodal condition on the columns of the basis matrix. NuMF finds applications for example in analytical
Andersen Man Shun Ang, Vandaele, Arnaud, Arnaud Vandaele, Hans De Sterck, Ang, Andersen Man Shun, Sterck, Hans De, Nicolas Gillis, Gillis, Nicolas   +7 more
core   +1 more source

Spatiotemporal Sequential Delivery of Chidamide Regulates Macrophage Reprogramming in Lymphoma Microenvironment Through HDACs‐STAT3 Pathway

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, Shuo Wang, Xiaotong Peng, Kunpeng Wu, Mengyao Wu, Zhaoning Lu, Haoshu Zhong, Xiaohan Qian, Shuiyi Tan, Hui Yang, Tanlezi Sun, Jing Wang, Jie Zhang, Hua Jiang, Yin Tong, Tong Chen   +15 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, Lin Wang, Yan Zhang, Matjaž Perc   +3 more
doaj   +1 more source

Deep Nonnegative Dictionary Factorization for Hyperspectral Unmixing

Remote Sensing, 2020
As a powerful blind source separation tool, Nonnegative Matrix Factorization (NMF) with effective regularizations has shown significant superiority in spectral unmixing of hyperspectral remote sensing images (HSIs) owing to its good physical ...
Wenhong Wang, Hongfu Liu
doaj   +1 more source

Development of a Real Time Sparse Non-Negative Matrix Factorization Module for Cochlear Implants by Using xPC Target

, 2013
Cochlear implants (CIs) require efficient speech processing to maximize information transmission to the brain, especially in noise. A novel CI processing strategy was proposed in our previous studies, in which sparsity-constrained non-negative matrix ...
Mark Lutman, Bleeck, S., Hu, Hongmei, Lutman, M.E., Agamemnon Krasoulis, Krasoulis, A., Hongmei Hu, Stefan Bleeck   +7 more
core   +1 more source

Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets [PDF]

, 2016
Nonnegative Matrix Factorization (NMF) with Kullback-Leibler Divergence (NMF-KL) is one of the most significant NMF problems and equivalent to Probabilistic Latent Semantic Indexing (PLSI), which has been successfully applied in many applications.
Ho, Tu-Bao, Nguyen, Duy-Khuong
core   +1 more source