Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 10 of 10 for “"Nonnegative Matrix Factorization (NMF)"”.
-
Adaptive Non-negative Least Squares with Applications to Non-Negative Matrix Factorization
… least squares (NNLS) problem, and the nonnegative matrix factorization (NMF) problem. In this paper, a method to solve the NNLS problem in an adaptive way is discussed. Additionally, possible ways to apply this, and other related method, to adaptive NMF problems are discussed.
-
Sequentially-fit alternating least squares algorithms in nonnegative matrix factorization
Nonnegative matrix factorization (NMF) and nonnegative least squares regression (NNLS regression) are widely used in the physical sciences; this thesis explores the often-overlooked origins of NMF in the psychometrics literature. Another method originating in psychometrics is sequentially-fit …
-
Speech denoising using nonnegative matrix factorization and neural networks
… methods were mainly adopted for this purpose, nonnegative matrix factorization (NMF) and neural networks. Experiments were conducted to compare the performance of these two methods for speech denoising. For each of these methods, we compared the performance of the case where we had prior …
-
Statistical Learning with Discrete Structures: Statistical and Computational Perspectives
… fifth chapter, we study the problem of sparse Nonnegative Matrix Factorization (NMF) using Cutler and Breiman's archetypal regularization. We explore the utility of our methods in the context of applications in the biomedical sciences, computer vision and computational finance.
-
Comparison of muscle synergies elicited from transcranial meganetic stimulation (tms) and voluntary movements
… demonstrated that muscle synergies decomposed by Nonnegative Matrix Factorization (NMF) from EMG patterns evoked by intra-cortical microsimulation (ICMS) in the monkey remarkably matched ones observed in naturalistic reach-and-grasp behaviors. Another study (Ajiboye et al. 2009) showed that …
-
Chemical identification under a poisson model for Raman spectroscopy
… known reference library. A novel variation of nonnegative matrix factorization (NMF) is developed to address this problem. Our simulations indicate that this algorithm gives better estimation performance than the standard two-stage NMF approach and the fully supervised approach when there are …
-
Matrix Factorization for Learning Metagenomic Pathways and Species
… from metagenomic data. The methods are based on Nonnegative Matrix Factorization (NMF). The rows of our data matrix correspond to metagenomic samples and columns correspond to chemical reactions present in the samples. In order to learn both pathways and OTUs as well as relationships between …
-
Algorithmic advances in learning from large dimensional matrices and scientific data
… from linear algebra and approximation theory for matrix spectrum related problems such as numerical rank estimation, matrix function trace estimation including log-determinants, Schatten norms, and other spectral sums. We also propose a new method which simultaneously estimates the dimension of …
-
An investigation of the utility of monaural sound source separation via nonnegative matrix factorization applied to acoustic echo and reverberation mitigation for hands-free telephony
… of Monaural Sound Source Separation (MSSS) via Nonnegative Matrix Factorization (NMF) for various problems related to audio for hands-free telephony. We first investigate MSSS via NMF as an alternative acoustic echo reduction approach to existing approaches such as Acoustic Echo Cancellation …
-
Advances in nonnegative matrix factorization with application on data clustering.
… representation of high-dimensional data, based nonnegative matrix factorization (NMF) framework, for better clustering. Specifically, there are three methods as follows: - Multiple Components Based Representation Learning Real data are usually complex and contain various components. For example, …