Results 91 to 100 of about 927,730 (287)

Voxel selection in fMRI data analysis based on sparse representation [PDF]

, 2009
Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Namburi, Praneeth, Guan, Cuntai, Li, Yuanqiang, Feng, Jianfeng, Yu, Zhuliang, Gu, Zhenghui   +5 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

IEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang, Rui Zhang, Shuyuan Yang, Licheng Jiao   +3 more
doaj   +1 more source

The cosparse analysis model and algorithms [PDF]

, 2013
After a decade of extensive study of the sparse representation synthesis model, we can safely say that this is a mature and stable field, with clear theoretical foundations, and appealing applications.
Gribonval, Rémi, Davies, M. E.; id_orcid, Elad, M., Davies, Mike E., Gribonval, R., Nam, S., Nam, Sangnam, Elad, Michael, Davies, M.E.   +8 more
core   +1 more source

Sulfur‐Free Ultrahigh‐Refractive‐Index Polymers Enabled by Densely Packed Oxygen‐Bridged Dibenzofuran‐Cardo Architectures

Advanced Functional Materials, EarlyView.
A new class of sulfur‐free, oxygen‐bridged dibenzofuran‐based polymers is developed for ultrahigh‐refractive‐index applications. The rigid π‐extended architecture and enhanced molecular polarizability enable exceptional optical performance, combining refractive indices up to 1.848 with high Abbe numbers and full visible transparency. This work offers a
Hend A. Hegazy, Gyeongsoo Kim, Sooyoung Lee, Mohamed R. Elmasry, Youn‐Chul Kim, Changsik Song   +5 more
wiley   +1 more source

Convolutional Sparse Coding Using Wavelets for Single Image Super-Resolution

IEEE Access, 2019
In this paper, we propose the convolutional sparse coding based model in the wavelet domain for the task of single image super-resolution (SISR). The conventional sparse coding based approaches work on overlapping image patches and use the dictionary ...
Awais Ahmed, She Kun, Raheel Ahmed Memon, Junaid Ahmed, Getnet Tefera   +4 more
doaj   +1 more source

Sparse Coding with Invariance Constraints [PDF]

, 2003
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set of basis feature vectors and invariance transformations, from each basis feature a family of transformed features is generated.
Heiko Wersing, Julian Eggert, Edgar Körner   +2 more
openaire   +2 more sources

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

INSTRUMENTATION-BASED MUSIC SIMILARITY USING SPARSE REPRESENTATIONS [PDF]

, 2012
© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Fujihara, H, Plumbley, MD, Klapuri, A, IEEE   +3 more
core   +4 more sources

Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding

Information, 2014
Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
doaj   +1 more source