Results 21 to 30 of about 7,174 (250)

Theorems on Positive Data: On the Uniqueness of NMF [PDF]

, 2008
We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not.
Pumbley, Mark, Plumbley, MD, Christensen, Mads Græsbøll; id_orcid, Hansen, LK, Lauerberg, Hans, Christensen, MG, Plumbley, Mark D., Jensen, Søren Holdt, Jensen, SH, Laurberg, Hans, Christensen, Mads Græsbøll, Hansen, Lars Kai, Laurberg, H   +12 more
core   +1 more source

Nonnegative Matrix Factorizations Performing Object Detection and Localization

Applied Computational Intelligence and Soft Computing, 2012
We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation provided by nonnegative matrix factorizations.
G. Casalino, N. Del Buono, M. Minervini
doaj   +1 more source

Graph Sparse Nonnegative Matrix Factorization Algorithm Based on the Inertial Projection Neural Network

Complexity, 2018
We present a novel method, called graph sparse nonnegative matrix factorization, for dimensionality reduction. The affinity graph and sparse constraint are further taken into consideration in nonnegative matrix factorization and it is shown that the ...
Xiangguang Dai, Chuandong Li, Biqun Xiang   +2 more
doaj   +1 more source

Multiple Graph Adaptive Regularized Semi-Supervised Nonnegative Matrix Factorization with Sparse Constraint for Data Representation

, 2022
Multiple graph and semi-supervision techniques have been successfully introduced into the nonnegative matrix factorization (NMF) model for taking full advantage of the manifold structure and priori information of data to capture excellent low-dimensional
Yi Wang, Wang, Yi, Zhao, Xuezhuan, Lingling Li, Zhang, Ji, Di, Jinhong, Kexin Zhang, Jinhong Di, Xuezhuan Zhao, Zhang, Kexin, Ji Zhang, Li, Lingling   +11 more
core   +1 more source

Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment

Complexity, 2018
Single-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex ...
Dong-xia Wang, Mao-song Jiang, Fang-lin Niu, Yu-dong Cao, Cheng-xu Zhou   +4 more
doaj   +1 more source

Collaborative filtering based on nonnegative/binary matrix factorization

Frontiers in Big Data
Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items.
Yukino Terui, Yuka Inoue, Yohei Hamakawa, Kosuke Tatsumura, Kazue Kudo, Kazue Kudo   +5 more
doaj   +1 more source

Categorical Dimensions of Human Odor Descriptor Space Revealed by Non-Negative Matrix Factorization [PDF]

, 2013
In contrast to most other sensory modalities, the basic perceptual dimensions of olfaction remain unclear. Here, we use non-negative matrix factorization (NMF) – a dimensionality reduction technique – to uncover structure in a panel of odor profiles ...
Castro, Jason B., Jason B. Castro, Castro, Jason B, Chennubhotla, Chakra S., Ramanathan, Arvind, Schaefer, Andreas, Chennubhotla Chakra S., Arvind Ramanathan (198127), Jason B. Castro (460485), Jason B Castro, Ramanathan Arvind, Arvind Ramanathan, Castro Jason B., Chakra S. Chennubhotla, Chennubhotla, Chakra S, Chakra S Chennubhotla, Chakra S. Chennubhotla (232086)   +16 more
core   +1 more source

Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization

Big Data Mining and Analytics
Nonnegative 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, Ye Li, Jianzhong Li, Jianping Fan   +3 more
doaj   +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, Spratling, Michael, Kompass, R., de Meyer, K., Spratling, M.W., Kompass, R   +5 more
core   +1 more source

A differentially private nonnegative matrix factorization for recommender system

, 2022
Nonnegative matrix factorization (NMF)-based models have been proven to be highly effective and scalable in addressing collaborative filtering (CF) problems in the recommender system (RS).
Ran, Xun, Ma, Jun, Wang, Yong, Zhang, Leo Yu   +3 more
core   +1 more source