Suchergebnisse - convex non-negative matrix factorization

Convex Non-Negative Matrix Factorization With Adaptive Graph for Unsupervised Feature Selection von Yuan, Aihong, You, Mengbo, He, Dongjian, Li, Xuelong

“… Many proposed approaches use self-expression to explore the correlation between the data samples or use pseudolabel matrix learning to learn the mapping between the data and labels …”
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Clustering by Orthogonal Non-negative Matrix Factorization: A Sequential Non-convex Penalty Approach von Wang, Shuai, Chang, Tsung-Hui, Cui, Ying, Pang, Jong-Shi

“… The non-negative matrix factorization (NMF) model with an additional orthogonality constraint on one of the factor matrices, called the orthogonal NMF (ONMF …”
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Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous von 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 …”
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A novel method for actuator fault detection considering complex operating processes von 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 …”
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Total Variation Constrained Graph-Regularized Convex Non-Negative Matrix Factorization for Data Representation von Tian, Miao, Leng, Chengcai, Wu, Haonan, Basu, Anup

“… We propose a novel NMF algorithm, named Total Variation constrained Graph-regularized Convex Non-negative Matrix Factorization (TV-GCNMF …”
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Convex Non-Negative Matrix Factorization for Brain Tumor Delimitation from MRSI Data von Ortega-Martorell, Sandra, Lisboa, Paulo J. G., Vellido, Alfredo, Simões, Rui V., Pumarola, Martí, Julià-Sapé, Margarida, Arús, Carles

“… Pattern Recognition techniques can provide invaluable insights in the field of neuro-oncology. This is because the clinical analysis of brain tumors requires …”
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Community Detection in Signed Networks Based on Normalized Laplacian Matrix and Convex Non-negative Matrix Factorization von Zhang, Yibo, Nan, Tian, Zhang, Zhaozhi

“… In this paper, we design a community detection algorithm based on normalized Laplacian matrix and convex non-negative matrix factorization for signed networks …”
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Convex non-negative matrix factorization for massive datasets von Thurau, Christian, Kersting, Kristian, Wahabzada, Mirwaes, Bauckhage, Christian

“… Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing …”
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Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours von Vilamala, Albert, Lisboa, Paulo J.G., Ortega-Martorell, Sandra, Vellido, Alfredo

“… •Brain tumours can be diagnosed on the basis of magnetic resonance spectroscopy (MRS).•A new method to introduce class information into a convex variant of NMF is presented …”
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Convex non-negative matrix factorization for automatic music structure identification von Nieto, Oriol, Jehan, Tristan

“… ) in a more consistent and efficient way than classic non-negative matrix factorization. This technique is capable of identifying the boundaries of the sections and then grouping them into different clusters …”
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On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction von Egendal, Ida, Brøndum, Rasmus Froberg, Pelizzola, Marta, Hobolth, Asger, Bøgsted, Martin

“… Since its introduction, non-negative matrix factorization (NMF) has been a popular tool for extracting interpretable, low-dimensional representations of high-dimensional data …”
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FER based on the improved convex nonnegative matrix factorization feature von Zhou, Jing, Wang, Tianjiang

“… In this paper, we intend to present an accurate facial expression recognition (FER) system, which employs an improved convex non-negative matrix factorization (ICNMF …”
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Convex Non-negative Matrix Factorization Through Quantum Annealing von ZAIOU, Ahmed, MATEI, Basarab, BENNANI, Younes, HIBTI, Mohamed

“… In this paper we provide the quantum version of the Convex Non-negative Matrix Factorization algorithm (Convex-NMF …”
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Temporal Community Detection and Analysis with Network Embeddings von Yuan, Limengzi, Zhang, Xuanming, Ke, Yuxian, Lu, Zhexuan, Li, Xiaoming, Liu, Changzheng

“… To address these issues, we propose TCDA-NE, a novel TCD algorithm that combines evolutionary clustering with convex non-negative matrix factorization (Convex-NMF …”
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Extraction of artefactual MRS patterns from a large database using non‐negative matrix factorization von 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 …”
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Clustering of cell populations in flow cytometry data using a combination of Gaussian mixtures von Reiter, Michael, Rota, Paolo, Kleber, Florian, Diem, Markus, Groeneveld-Krentz, Stefanie, Dworzak, Michael

“… We propose a supervised learning approach to automatic quantification of cell populations in flow cytometric samples. One sample contains up to millions of …”
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A comparison of non‐negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors von Ungan, Gulnur, Arús, Carles, Vellido, Alfredo, Julià‐Sapé, Margarida

“… ‐negative matrix underapproximation (NMU) family, namely, sparse NMU, global NMU, and recursive NMU, and compared them with convex non …”
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Risk budget portfolios with convex Non-negative Matrix Factorization von Spilak, Bruno, Härdle, Wolfgang Karl

“… We propose a portfolio allocation method based on risk factor budgeting using convex Nonnegative Matrix Factorization (NMF …”
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An interior-point algorithm for linearly constrained convex optimization based on kernel function and application in non-negative matrix factorization von Fathi-Hafshejani, S., Moaberfard, Z.

“… In this paper, an interior point method (IPM) based on a new kernel function for solving linearly constrained convex optimization problems is presented …”
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Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting von Li, Kendrick

“… ) network, consisting of a matrix of pairwise correlation of the blood-oxygen-level-dependent (BOLD …”
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