Results 101 to 110 of about 927,730 (287)

Are v1 simple cells optimized for visual occlusions? : A comparative study [PDF]

, 2013
: Simple cells in primary visual cortex were famously found to respond to low-level image components such as edges. Sparse coding and independent component analysis (ICA) emerged as the standard computational models for simple cell coding because they ...
Lücke, Jörg, Marc Henniges (418695), Henniges, Marc, Marc Henniges, Jörg Lücke (175863), Bornschein, Jörg, Jörg Lücke, Jörg Bornschein (418694), Jörg Bornschein   +8 more
core   +2 more sources

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

Advanced 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, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source

Detection of Pitting in Gears Using a Deep Sparse Autoencoder

Applied Sciences, 2017
In this paper; a new method for gear pitting fault detection is presented. The presented method is developed based on a deep sparse autoencoder. The method integrates dictionary learning in sparse coding into a stacked autoencoder network.
Yongzhi Qu, Miao He, Jason Deutsch, David He   +3 more
doaj   +1 more source

Identification of Matrices Having a Sparse Representation [PDF]

, 2008
We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary.
Pfander, Goetz E., Holger Rauhut, Pfander, Götz E., Jared Tanner, Rauhut, Holger, Tanner, Jared, Götz E. Pfander   +6 more
core   +1 more source

Desert Plant Inspired Hierarchical Nanofibrous Membranes for Integrated Solar Desalination and Heavy Metal Remediation

Advanced Functional Materials, EarlyView.
An Alhagi maurorum inspired hierarchical composite membrane (NFCu) was developed by integrating heavy metal remediation and solar‐driven interfacial evaporation in a single platform. Beyond the photothermal effect, a localized photocatalytic process is realized on the CuO surface, deepening the mechanistic understanding of light–matter–water ...
Yuqiong He, Ronggang Luo, Shengbo Ge, Kaixin Jiang, Kirsten Dyer, Xiaojian Zhou, Ben Bin Xu, Xuehua Zhang, Guanben Du, Kaimeng Xu   +9 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Multi-targets device-free localization based on sparse coding in smart city

International Journal of Distributed Sensor Networks, 2019
With the continuous expansion of the market of device-free localization in smart cities, the requirements of device-free localization technology are becoming higher and higher.
Min Zhao, Danyang Qin, Ruolin Guo, Guangchao Xu   +3 more
doaj   +1 more source

Bayesian Orthogonal Component Analysis for Sparse Representation [PDF]

, 2010
This paper addresses the problem of identifying a lower dimensional space where observed data can be sparsely represented. This undercomplete dictionary learning task can be formulated as a blind separation problem of sparse sources linearly mixed with ...
Nicolas Dobigeon, Jean-yves Tourneret, Dobigeon, Nicolas, Tourneret, Jean-Yves   +3 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

KSVD-Based Multiple Description Image Coding

IEEE Access, 2019
In this paper, we present a new multiple description coding scheme, which is based on a sparse dictionary training method called K singular value decomposition (KSVD).
Guina Sun, Lili Meng, Li Liu, Yanyan Tan, Jia Zhang, Huaxiang Zhang   +5 more
doaj   +1 more source