Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation.

08:00 EDT 3rd October 2019 | BioPortfolio

Summary of "Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation."

Semi-supervised non-negative matrix factorization (NMF) exploits the strengths of NMF in effectively learning local information contained in data and is also able to achieve effective learning when only a small fraction of data is labeled. NMF is particularly useful for dimensionality reduction of high-dimensional data. However, the mapping between the low-dimensional representation, learned by semi-supervised NMF, and the original high-dimensional data contains complex hierarchical and structural information, which is hard to extract by using only single-layer clustering methods. Therefore, in this article, we propose a new deep learning method, called semi-supervised graph regularized deep NMF with bi-orthogonal constraints (SGDNMF). SGDNMF learns a representation from the hidden layers of a deep network for clustering, which contains varied and unknown attributes. Bi-orthogonal constraints on two factor matrices are introduced into our SGDNMF model, which can make the solution unique and improve clustering performance. This improves the effect of dimensionality reduction because it only requires a small fraction of data to be labeled. In addition, SGDNMF incorporates dual-hypergraph Laplacian regularization, which can reinforce high-order relationships in both data and feature spaces and fully retain the intrinsic geometric structure of the original data. This article presents the details of the SGDNMF algorithm, including the objective function and the iterative updating rules. Empirical experiments on four different data sets demonstrate state-of-the-art performance of SGDNMF in comparison with six other prominent algorithms.


Journal Details

This article was published in the following journal.

Name: IEEE transactions on neural networks and learning systems
ISSN: 2162-2388


DeepDyve research library

PubMed Articles [5012 Associated PubMed Articles listed on BioPortfolio]

Joint sparse graph and flexible embedding for graph-based semi-supervised learning.

This letter introduces a framework for graph-based semi-supervised learning by estimating a flexible non-linear projection and its linear regression model. Unlike existing works, the proposed framewor...

Removing segmentation inconsistencies with semi-supervised non-adjacency constraint.

The advent of deep learning has pushed medical image analysis to new levels, rapidly replacing more traditional machine learning and computer vision pipelines. However segmenting and labelling anatomi...

Learning Graph Embedding With Adversarial Training Methods.

Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph-analytics tasks like link prediction and graph clustering. Most approaches on graph embedding focus on preserving t...

Clustering-Driven Deep Embedding With Pairwise Constraints.

Recently, there has been increasing interest to leverage the competence of neural networks to analyze data. In particular, new clustering methods that employ deep embeddings have been presented. In th...

Inferring Disease-Associated MicroRNAs Using Semi-supervised Multi-Label Graph Convolutional Networks.

MicroRNAs (miRNAs) play crucial roles in biological processes involved in diseases. The associations between diseases and protein-coding genes (PCGs) have been well investigated, and miRNAs interact w...

Clinical Trials [2358 Associated Clinical Trials listed on BioPortfolio]

Ipilimumab and Nivolumab Combination Therapy With Supervised or Semi-supervised Exercise Intervention

This study aims to report the effects of immediate or delayed exercise training on patients with advanced or metastatic renal cell carcinoma who are receiving nivolumab and ipilimumab.

Semi-supervised Exercise Program Before Bariatric Surgery

Background: Patients awaiting bariatric surgery, apart from suffering higher BMI, show a large number of comorbidities and a low physical fitness. These factors are associated with a longe...

Fetal and Maternal Head Circumference During Pregnancy in Israeli Population

In this study, measurements of fetal and maternal head circumference will be collected. This data will be presented in table or graph form. The effect of maternal head circumference on fet...

Does the Deep Layer of the Deep Temporalis Fascia Really Exist?

It has been widely accepted that a split of the deep temporal fascia occurs approximately 2 to 3 cm above the zygomatic arch, named the superficial and deep layers. The deep layer of the d...

Angio-based Flow Fractional Reserve to Predict Adverse Events After Stent Implantation

The investigators will collect prospectively baseline, procedural and follow-up data of all patients receiving successful percutaneous coronary intervention (PCI) and stent implantation. A...

Medical and Biotech [MESH] Definitions

The rights of individuals to act and make decisions without external constraints.

DEEP VEIN THROMBOSIS of an upper extremity vein (e.g., AXILLARY VEIN; SUBCLAVIAN VEIN; and JUGULAR VEINS). It is associated with mechanical factors (Upper Extremity Deep Vein Thrombosis, Primary) secondary to other anatomic factors (Upper Extremity Deep Vein Thrombosis, Secondary). Symptoms may include sudden onset of pain, warmth, redness, blueness, and swelling in the arm.

Personnel whose work is prescribed and supervised by the dentist.

A space which has limited openings for entry and exit combined with unfavorable natural ventilation such as caves, refrigerators, deep tunnels, pipelines, sewers, silos, tanks, vats, mines, deep trenches or pits, vaults, manholes, chimneys, etc.

Physician-supervised programs designed to rehabilitate people with diseases, trauma, or disorders of the NERVOUS SYSTEM.

Quick Search

DeepDyve research library

Relevant Topic

Antiretroviral therapy
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...

Searches Linking to this Article