Results 91 to 100 of about 3,038,089 (290)
Confident Kernel Sparse Coding and Dictionary Learning
, 2019 In recent years, kernel-based sparse coding (K-SRC) has received particular attention due to its efficient representation of nonlinear data structures in the feature space.
Hammer, Barbara, Hosseini, Babak
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Variational Sparse Coding [PDF]
, 2019 Unsupervised discovery of interpretable features and controllable generation with highdimensional data are currently major challenges in machine learning, with applications\ud in data visualisation, clustering and artificial\ud data synthesis. We propose a model based\ud on variational auto-encoders (VAEs) in which\ud interpretation is induced through ...
Tonolini, Francesco +2 more
openaire
Advanced Functional Materials, EarlyView.This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 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 +4 more
doaj +1 more source
Sensorimotor transformation via sparse coding [PDF]
Scientific Reports, 2015 AbstractSensorimotor transformation is indispensable to the accurate motion of the human body in daily life. For instance, when we grasp an object, the distance from our hands to an object needs to be calculated by integrating multisensory inputs and our motor system needs to appropriately activate the arm and hand muscles to minimize the distance. The
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Predicting Atomic Charges in MOFs by Topological Charge Equilibration
Advanced Functional Materials, EarlyView.An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
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
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Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences [PDF]
, 2014 This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related areas.
Harandi, Mehrtash +3 more
core
Advanced Functional Materials, EarlyView.Ultrathin AlOxHy interlayers between aluminum films and polymer substrates significantly improve electro‐mechanical properties of flexible thin film systems. By precisely controlling interlayer thickness using atomic layer deposition, this study identifies an optimal interlayer thickness of 5–10 nm that enhances ductility and delays cracking.
Johanna Byloff +9 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 +3 more
doaj +1 more source