Results 81 to 90 of about 223,248 (273)
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
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
openaire +2 more sources
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 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
Collaborative Representation based Classification for Face Recognition [PDF]
, 2014 By coding a query sample as a sparse linear combination of all training samples and then classifying it by evaluating which class leads to the minimal coding residual, sparse representation based classification (SRC) leads to interesting results for ...
Feng, Xiangchu +4 more
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Advanced Healthcare Materials, EarlyView.Coagulative granular hydrogels are composed of packed thrombin‐functionalized microgels that catalyze the conversion of fibrinogen into a secondary fibrin network, filling the interstitial voids. This bio‐inspired approach stabilizes the biomaterial to match the robustness of bulk hydrogels without compromising injectability, mimicking the initial ...
Zhipeng Deng +16 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
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 +3 more
doaj +1 more source
Multimodal Sparse Coding for Event Detection [PDF]
, 2016 Unsupervised feature learning methods have proven effective for classification tasks based on a single modality. We present multimodal sparse coding for learning feature representations shared across multiple modalities.
Brady, Kevin +5 more
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