Výsledky vyhľadávania - Robust convex non-negative matrix factorization

A novel method for actuator fault detection considering complex operating processes Autor Sun, Tianshu, Wang, Yinsong, Ding, Mengting

“…In the process industry, the actuator has complex operating processes. Its steady working conditions are easy to change. Moreover, it is in a dynamic process…”
Získať plný text

Feature fusion and non-negative matrix factorization based active contours for texture segmentation Autor Gao, Mingqi, Chen, Hengxin, Zheng, Shenhai, Fang, Bin

“…).•Effective energy functional via Non-negative Matrix Factorization (NMF).•Convex optimization strategy for robust results against different initializations…”
Získať plný text

Image recovery and clustering approach based on weighted Manhattan non-negative matrix factorization Autor Tao, Yingyin, Yang, Yi, Dai, Xiangguang, Su, Xiaojie

“…Traditional robust non-negative matrix factorization methods cannot achieve robust low-dimensional features while the data is heavily contaminated by Salt and Pepper noise…”
Získať plný text

Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization Autor Hernández‐Villegas, Yanisleydis, Ortega‐Martorell, Sandra, Arús, Carles, Vellido, Alfredo, Julià‐Sapé, Margarida

“…Despite the success of automated pattern recognition methods in problems of human brain tumor diagnostic classification, limited attention has been paid to the…”
Získať plný text

Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous Autor Ungan, Gülnur, Pons‐Escoda, Albert, Ulinic, Daniel, Arús, Carles, Ortega‐Martorell, Sandra, Olier, Ivan, Vellido, Alfredo, Majós, Carles, Julià‐Sapé, Margarida

“…The standard treatment in glioblastoma includes maximal safe resection followed by concomitant radiotherapy plus chemotherapy and adjuvant temozolomide. The…”
Získať plný text

Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation Autor Luo, Peng, Qu, Xilong, Tan, Lina, Xie, Xiaoliang, Jiang, Weijin, Huang, Lirong, Ip, Wai Hung, Yung, Kai Leung

“… So current paper is an attempt that has proposed a new method named as robust ensemble manifold projective non-negative matrix factorization (REPNMF…”
Získať plný text

Decomposition into low-rank plus additive matrices for background/foreground separation: A review for a comparative evaluation with a large-scale dataset Autor Bouwmans, Thierry, Sobral, Andrews, Javed, Sajid, Jung, Soon Ki, Zahzah, El-Hadi

“…: Robust Non-negative Matrix Factorization (RNMF), Robust Matrix Completion (RMC), Robust Subspace Recovery (RSR…”
Získať plný text

Robust unsupervised feature selection by nonnegative sparse subspace learning Autor Zheng, Wei, Yan, Hui, Yang, Jian

“… By minimizing the reconstruction residual, the learned feature weight matrix with the l2,1-norm and the non-negative constraints not only removes the irrelevant features, but also captures…”
Získať plný text

Robust vertex enumeration for convex hulls in high dimensions Autor Awasthi, Pranjal, Kalantari, Bahman, Zhang, Yikai

“…The problem of computing the vertices of the convex hull of a given input set S = { v i ∈ R m : i = 1 , ⋯ , n } is a classic and fundamental problem, studied…”
Získať plný text

On application of non-negative matrix factorization for ad hoc microphone array calibration from incomplete noisy distances Autor Asaei, Afsaneh, Mohammadiha, Nasser, Taghizadeh, Mohammad J., Doclo, Simon, Bourlard, Herve

“…We propose to use non-negative matrix factorization (NMF) to estimate the unknown pairwise distances and reconstruct a distance matrix for microphone array position calibration…”
Získať plný text

First Order Methods for Robust non-negative matrix factorization for large scale noisy data Autor Liu, Jason Gejie, Shuchin Aeron

“…Nonnegative matrix factorization (NMF) has been shown to be identifiable under the separability assumption, under which all the columns(or rows…”
Získať plný text

Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing Autor Zouaoui, Alexandre, Muhawenayo, Gedeon, Rasti, Behnood, Chanussot, Jocelyn, Mairal, Julien

“…, pixels containing a single material) but instead represents endmembers as convex combinations of a few pixels present in the original hyperspectral image…”
Získať plný text

Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint Autor Shen, Xingyu, Zhang, Xiang, Lan, Long, Liao, Qing, Luo, Zhigang

“…Non-negative matrix factorization (NMF) is a classical data analysis tool for clustering tasks…”
Získať plný text

Robust unsupervised feature selection by nonnegative sparse subspace learning Autor Wei Zheng, Hui Yan, Jian Yang, Jingyu Yang

“… By minimizing the reconstruction residual, the learned feature weight matrix with the l 2,1 -norm and the non-negative constraints not only removes the irrelevant features, but also captures…”
Získať plný text

Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation Autor Liao, Qing, Guan, Naiyang, Zhang, Qian

“…Non-negative matrix factorization (NMF) decomposes any non-negative matrix into the product of two low dimensional non-negative matrices…”
Získať plný text

A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription Autor Bertin, N., Fevotte, C., Badeau, R.

“…In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence…”
Získať plný text

Fast and robust non-negative matrix factorization for single-cell experiments Autor Debruine, Zachary J, Melcher, Karsten, Triche, Timothy J

“…Non-negative matrix factorization (NMF) is an intuitively appealing method to extract additive combinations of measurements from noisy or complex data…”
Získať plný text

Elastic Nonnegative Matrix Factorization Autor Ballen, Peter, Guha, Sudipto

“… Non-negative matrix factorization has been used widely in a variety of data mining settings, in a multitude of disciplines, including the famous Netflix challenge…”
Získať plný text

A Study of Non-Negative Matrix Factorizations: Foundations, Methods, Algorithms, and Applications Autor Liu, Kai

“… efficient.Non-negative matrix factorization (NMF) is a classical mathematical problem which aims to give two non-negative matrices F and G so that FG approximate the given nonnegative matrix X…”
Získať plný text

Non-negative Matrix Factorization via Archetypal Analysis Autor Javadi, Hamid, Montanari, Andrea

“…Given a collection of data points, non-negative matrix factorization (NMF) suggests to express them as convex combinations of a small set…”
Získať plný text