Results 101 to 110 of about 796,535 (249)

Sparse Coding with Invariance Constraints [PDF]

open access: yes, 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   +2 more
openaire   +2 more sources

Reconstruction of LDPC code sparse check matrix based on modified LBP decoding

open access: yesTongxin xuebao
In order to reconstruct the sparse check matrix of LDPC code, a sparse check matrix reconstruction algorithm for LDPC code at high BER was proposed based on modified LBP decoding.
ZHANG Tianqi   +3 more
doaj   +2 more sources

Integrated Sparse Coding With Graph Learning for Robust Data Representation

open access: yesIEEE Access, 2020
Sparse coding is a popular technique for achieving compact data representation and has been used in many applications. However, the instability issue often causes degeneration in practice and thus attracts a lot of studies.
Yupei Zhang, Shuhui Liu
doaj   +1 more source

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

Sparsey^TM: Spatiotemporal Event Recognition via Deep Hierarchical Sparse Distributed Codes

open access: yesFrontiers in Computational Neuroscience, 2014
The visual cortex’s hierarchical, multi-level organization is captured in many biologically inspired computational vision models, the general idea being that progressively larger scale (spatially/temporally) and more complex visual features are ...
Gerard J Rinkus
doaj   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou   +6 more
wiley   +1 more source

Construction of regular quasi-cyclic protograph LDPC codes based on Vandermonde matrices

open access: yes, 2008
In this contribution, we investigate the attainable performance of quasi-cyclic (QC) protograph Low-Density Parity-Check (LDPC) codes for transmission over both Additive White Gaussian Noise (AWGN) and uncorrelated Rayleigh channels.
Sheng Chen   +5 more
core   +1 more source

Dictionary learning with large step gradient descent for sparse representations [PDF]

open access: yes, 2012
This is the accepted version of an article published in Lecture Notes in Computer Science Volume 7191, 2012, pp 231-238.
Boris Mailhé   +6 more
core   +1 more source

Low-density parity-check codes based on sparse binary sequences

open access: yesTongxin xuebao, 2005
A novel and simple construction of regular LDPC codes was proposed, which used sparse binary sequences, through studying construction methods of LDPC codes.
HE Shan-bao   +3 more
doaj   +2 more sources

Design of low-density parity-check codes: An overview

open access: yes, 2011
This article provides an overview of the conflicting design tradeoffs of low-density parity-check (LDPC) codes and thus advocates a more holistic approach to their design for wireless channels.
Chen, Sheng   +2 more
core   +1 more source

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