Results 41 to 50 of about 3,038,089 (290)
An Improved Robust Sparse Coding for Face Recognition with Disguise
International Journal of Advanced Robotic Systems, 2012 Robust vision-based face recognition is one of most challenging tasks for robots. Recently the sparse representation-based classification (SRC) has been proposed to solve the problem.
Dexing Zhong +3 more
doaj +1 more source
Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding [PDF]
Computer Vision and Pattern Recognition, 2017 Magnetic Resonance Imaging (MRI) offers high-resolution in vivo imaging and rich functional and anatomical multimodality tissue contrast. In practice, however, there are challenges associated with considerations of scanning costs, patient comfort, and ...
Yawen Huang +2 more
semanticscholar +1 more source
Sparse Coding and Autoencoders
, 2017 In "Dictionary Learning" one tries to recover incoherent matrices $A^* \in \mathbb{R}^{n \times h}$ (typically overcomplete and whose columns are assumed to be normalized) and sparse vectors $x^* \in \mathbb{R}^h$ with a small support of size $h^p$ for ...
Arora, Ashish +6 more
core +1 more source
A Fast Sparse Coding Method for Image Classification
Applied Sciences, 2019 Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field.
Mujun Zang +4 more
doaj +1 more source
SpaRec: Sparse Systematic RLNC Recoding in Multi-Hop Networks
IEEE Access, 2021 Sparse Random Linear Network Coding (RLNC) reduces the computational complexity of the RLNC decoding through a low density of the non-zero coding coefficients, which can be achieved through sending uncoded (systematic) packets.
Elif Tasdemir +6 more
doaj +1 more source
Fusing Deep Learning and Sparse Coding for SAR ATR
IEEE Transactions on Aerospace and Electronic Systems, 2019 We propose a multimodal and multidiscipline data fusion strategy appropriate for automatic target recognition (ATR) on synthetic aperture radar imagery. Our architecture fuses a proposed clustered version of the AlexNet convolutional neural network with ...
Odysseas Kechagias-Stamatis, N. Aouf
semanticscholar +1 more source
Sparse-View Ct Reconstruction Via Convolutional Sparse Coding [PDF]
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019 Traditional dictionary learning based CT reconstruction methods are patch-based and the features learned with these methods often contain shifted versions of the same features. To deal with these problems, the convolutional sparse coding (CSC) has been proposed and introduced into various applications.
Bao, Peng +4 more
openaire +2 more sources
Adversarial Defense by Stratified Convolutional Sparse Coding [PDF]
Computer Vision and Pattern Recognition, 2018 We propose an adversarial defense method that achieves state-of-the-art performance among attack-agnostic adversarial defense methods while also maintaining robustness to input resolution, scale of adversarial perturbation, and scale of dataset size ...
Bo Sun +4 more
semanticscholar +1 more source
Sparse Coding for Alpha Matting [PDF]
IEEE Transactions on Image Processing, 2016 Existing color sampling based alpha matting methods use the compositing equation to estimate alpha at a pixel from pairs of foreground (F) and background (B) samples. The quality of the matte depends on the selected (F,B) pairs. In this paper, the matting problem is reinterpreted as a sparse coding of pixel features, wherein the sum of the codes gives ...
Jubin Johnson +3 more
openaire +3 more sources
Fast Image Super-resolution with Sparse Coding
MATEC Web of Conferences, 2016 In this paper, we introduce a novel fast image reconstruction method for super-resolution (SR) base on sparse coding. This method combine online dictionary learning and a fast sparse coding way, both of which can improve the efficiency of the ...
Yuan Zhi-chao, Li Ben-tu
doaj +1 more source