Results 231 to 240 of about 54,863 (259)

Font Classification Using NMF

2003
In this paper, we propose a font classification method in scanned documents using non-negative matrix factorization (NMF). Using NMF, we automatically extract spatially local features enough to classify each font. The appropriateness of the features to classify a specific font is shown in the experimental results.
Chang Woo Lee, Hyun Kang, Keechul Jung, Hang Joon Kim   +3 more
openaire   +1 more source

Sparse dual graph-regularized NMF for image co-clustering

Neurocomputing, 2018
Nonnegative matrix factorization (NMF) as fundamental technique for clustering has been receiving more and more attention. This is because it can effectively reduce high dimensional data and produce parts-based, linear image representations of ...
Jing Sun, Zhihui Wang, Fuming Sun, Haojie Li   +3 more
semanticscholar   +1 more source

Deep Learning Based Speech Separation via NMF-Style Reconstructions

IEEE/ACM Transactions on Audio Speech and Language Processing, 2018
Deep learning based speech separation usually uses a supervised algorithm to learn a mapping function from noisy features to separation targets. These separation targets, either ideal masks or magnitude spectrograms, have prominent spectro-temporal ...
Shuai Nie, Shan Liang, Wenju Liu, Xueliang Zhang, J. Tao   +4 more
semanticscholar   +1 more source

Video Hashing with DCT and NMF

Computer/law journal, 2019
Video hashing is a novel technique of multimedia processing and finds applications in video retrieval, video copy detection, anti-piracy search and video authentication.
Zhenjun Tang, Lv Chen, Heng Yao, Xianquan Zhang, Chunqiang Yu   +4 more
semanticscholar   +1 more source

NMF decomposition images

2019
supplement material for paper ...
openaire   +1 more source

NMF in MR Spectroscopy

2015
Nowadays, magnetic resonance spectroscopy (MRS) represents a powerful nuclear magnetic resonance (NMR) technique in oncology since it provides information on the biochemical profile of tissues, thereby allowing clinicians and radiologists to identify in a non-invasive way the different tissue types characterising the sample under investigation.
T. Laudadio, A. R. Croitor Sava, Y. Li, N. Sauwen, D. M. Sima, S. Van Huffel   +5 more
openaire   +1 more source

Hierarchical Representation Using NMF

2013
In this paper, we propose a representation model that demonstrates hierarchical feature learning using nsNMF. We stack simple unit algorithm into several layers to take step-by-step approach in learning. By utilizing NMF as unit algorithm, our proposed network provides intuitive understanding of the feature development process.
Hyun Ah Song, Soo-Young Lee
openaire   +1 more source

Theoretical exploration of the cooperative effect in NMF–NMF–amino acid residue hydrogen bonding system

Physical Chemistry Chemical Physics, 2008
This paper presents a theoretical study of the cooperative effect in sixteen linearly-arranged trimer systems consisting of N-methylformamide dimer and an extra amino acid residue. These trimer systems, NMF-NMF-AAR, in short, have been systematically investigated by full optimization at B3LYP/cc-pVTZ level and subsequent electronic energy calculations ...
Xichen, Li, Wenlan, Liu, Kening, Sun, Yan, Wang, Hongwei, Tan, Guangju, Chen   +5 more
openaire   +2 more sources

Semi-supervised bi-orthogonal constraints dual-graph regularized NMF for subspace clustering

Applied intelligence (Boston), 2021
Songtao Liu, Weigang Li, Junwei Hu, Yang Li   +3 more
semanticscholar   +1 more source

Recycling of NMF from WPCBs

2019
Cheap nonmetal fraction (epoxy resin, glass fiber, ceramics, etc.) accounts for 70% of e-waste/WPCB. It contains most of the hazardous brominated flame retardants. This chapter covers the direct and chemical recycling of NMF from WPCBs. Chemical recycling consists of combustion (smelting/incineration), pyrolysis, and depolymerization processes by using
openaire   +1 more source