Results 71 to 80 of about 864,269 (299)

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong   +10 more
wiley   +1 more source

Learned Convolutional Sparse Coding [PDF]

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA (LISTA) method, and a linear convolutional decoder. Our strategy offers a simple method for learning a task-driven sparse convolutional dictionary (CD), and producing an approximate convolutional
Sreter, Hillel, Giryes, Raja
openaire   +3 more sources

A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition

open access: yesIEEE Access, 2018
Vision-based scene recognition aims to find a semantic explanation of a scene image. First, how to learn a sparse feature representation by mapping each cluster of patches into few dimensions is one challenging issue.
Yuanlong Yu   +3 more
doaj   +1 more source

Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit   +10 more
wiley   +1 more source

An In-depth Study of Sparse Codes on Abnormality Detection [PDF]

open access: yes, 2016
Sparse representation has been applied successfully inabnormal event detection, in which the baseline is to learna dictionary accompanied by sparse codes.
Olsen, Søren Ingvor   +10 more
core   +1 more source

Discriminative sparse neighbor coding [PDF]

open access: yesMultimedia Tools and Applications, 2015
Sparse coding has received extensive attention in the literature of image classification. Traditional sparse coding strategies tend to approximate local features in terms of a linear combination of basis vectors, without considering feature neighboring relationships.
Xiao Bai 0001   +4 more
openaire   +3 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

RS + LDPC-Staircase Codes for the Erasure Channel: Standards, Usage and Performance [PDF]

open access: yes, 2013
Application-Level Forward Erasure Correction (AL-FEC) codes are a key element of telecommunication systems. They are used to recover from packet losses when retransmission are not feasible and to optimize the large scale distribution of contents. In this
Detchart, Jonathan   +4 more
core  

Bayesian and information-theoretic tools for neuroscience [PDF]

open access: yes, 2007
The overarching purpose of the studies presented in this report is the exploration of the uses of information theory and Bayesian inference applied to neural codes. Two approaches were taken: Starting from first principles, a coding mechanism is proposed,
Endres, Dominik M.
core   +2 more sources

Capacity-Achieving Sparse Regression Codes via Approximate Message Passing Decoding [PDF]

open access: yes, 2015
Sparse superposition codes were recently introduced by Barron and Joseph for reliable communication over the AWGN channel at rates approaching the channel capacity. In this code, the codewords are sparse linear combinations of columns of a design matrix.
Ramji Venkataramanan   +2 more
core   +2 more sources

Home - About - Disclaimer - Privacy