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Genetic algorithm-based adaptive wiener gain for speech enhancement using an iterative posterior nmf
S Yechuri, SD Vanabathina - International Journal of Image and …, 2023 - World Scientific
In this paper, we propose a genetic algorithm-based adaptive Wiener gain for speech
enhancement using an iterative posterior non-negative matrix factorization (NMF). In the …
enhancement using an iterative posterior non-negative matrix factorization (NMF). In the …
[HTML][HTML] SAC-NMF-Driven Graphical Feature Analysis and Applications
N Li, S Wang, H Li, Z Li - Machine Learning and Knowledge Extraction, 2020 - mdpi.com
Feature analysis is a fundamental research area in computer graphics; meanwhile,
meaningful and part-aware feature bases are always demanding. This paper proposes a …
meaningful and part-aware feature bases are always demanding. This paper proposes a …
An efficient unsupervised diffusion clustering algorithm with application to shape decomposition based on visibility context
F Fotopoulou, EZ Psarakis - Signal Processing: Image Communication, 2017 - Elsevier
In this paper the two and three dimensional of a single shape partitioning problem is
revisited by means of an iterative, non supervised, very fast and effective algorithm. The …
revisited by means of an iterative, non supervised, very fast and effective algorithm. The …
Synthesizing Human Faces Using Latent Space Factorization and Local Weights
We propose a 3D face generative model with local weights to increase the model's
variations and expressiveness. The proposed model allows partial manipulation of the face …
variations and expressiveness. The proposed model allows partial manipulation of the face …
Algorithms for Basis Sparsity Non-negative Matrix Factorization
D Zhou, Q Yu, J Wen - 2020 IEEE 3rd International Conference …, 2020 - ieeexplore.ieee.org
In this paper, we proposed a method called basis sparsity non-negative matrix factorization,
for decomposing multivariate matrix into sparse nonnegative components. The algorithm …
for decomposing multivariate matrix into sparse nonnegative components. The algorithm …
Encoding the Models with Object-Aware Feature Basis: A New Analytical Tool for Graphic Applications
Feature space analysis is always the most central problem in all kinds of graphic
applications, and the acquirement of different kinds of basis for feature space has never …
applications, and the acquirement of different kinds of basis for feature space has never …
Improving a mesh segmentation algorithm based on non-negative matrix factorization
J Kang - 2016 - docs.lib.purdue.edu
Abstract 3D Mesh segmentation is used in various applications such as object recognition,
reconstruction, and analyzing structure of meshes. The method for 3D mesh segmentation …
reconstruction, and analyzing structure of meshes. The method for 3D mesh segmentation …