Results 81 to 90 of about 224,871 (275)
Sparse visual models for biologically inspired sensorimotor control [PDF]
, 2003 Given the importance of using resources efficiently in the competition for survival, it is reasonable to think that natural evolution has discovered efficient cortical coding strategies for representing natural visual information.
Jabri, Marwan, Yang, Li
core
Sparse neural codes and convexity [PDF]
Involve, a Journal of Mathematics, 2019 13 pages, 10 ...
Jeffs, R. Amzi +4 more
openaire +3 more sources
Advanced Engineering Materials, EarlyView.Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
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
Nonlinear spike-and-slab sparse coding for interpretable image encoding. [PDF]
PLoS ONE, 2015 Sparse coding is a popular approach to model natural images but has faced two main challenges: modelling low-level image components (such as edge-like structures and their occlusions) and modelling varying pixel intensities.
Jacquelyn A Shelton +4 more
doaj +1 more source
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
core +1 more source
Neural Coding: Sparse but On Time [PDF]
Current Biology, 2014 To code information efficiently, sensory systems use sparse representations. In a sparse code, a specific stimulus activates only few spikes in a small number of neurons. A new study shows that the temporal pattern across sparsely activated neurons encodes information, suggesting that the sparse code extends into the time domain.
Kloppenburg, Peter, Nawrot, Martin Paul
openaire +2 more sources
Advanced Functional Materials, EarlyView.This study uncovers the unexplored role of intermolecular interactions in multiphoton absorption in coordination polymers. By analyzing [Zn2tpda(DMA)2(DMF)0.3], it shows how the electronic coupling of the chromophores and confinement in the MOF enhance two‐and three‐photon absorption.
Simon Nicolas Deger +11 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
doaj +1 more source
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