Results 31 to 40 of about 724,897 (308)

Large-Scale Visualization of Sparse Matrices [PDF]

, 2014
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is presented and evaluated both analytically and empirically.
Tvrdik, P., Dytrych, T., Langr, D., Simecek, I.   +3 more
core   +1 more source

A Remote Sensing Image Destriping Model Based on Low-Rank and Directional Sparse Constraint

Remote Sensing, 2021
Stripe noise is a common condition that has a considerable impact on the quality of the images. Therefore, stripe noise removal (destriping) is a tremendously important step in image processing.
Xiaobin Wu, Hongsong Qu, Liangliang Zheng, Tan Gao, Ziyu Zhang   +4 more
doaj   +1 more source

Sparse-to-Sparse Training of Diffusion Models [PDF]

CoRR
Diffusion models (DMs) are a powerful type of generative models that have achieved state-of-the-art results in various image synthesis tasks and have shown potential in other domains, such as natural language processing and temporal data modeling.
OLIVEIRA, Inês, MOCANU, Decebal Constantin, LEIVA, Luis A.   +2 more
openaire   +3 more sources

Sparse MP4

2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 2020
MP4 is currently the gold standard for video compression. Here we demonstrate that MP4 can be augmented by using a spatiotemporal sparse code optimized for the reconstruction of video portraits to up-sample data streams in which 75% of the pixels have been removed.
Daniel A. Wang, Charles M. S. Strauss, Jacob M. Springer, Austin Thresher, Howard Pritchard, Garrett T. Kenyon   +5 more
openaire   +2 more sources

justincosentino/robust-sparse-networks: robust-sparse-networks

, 2023
Official release for "The Search for Sparse, Robust Neural Networks" by {Justin Cosentino, Federico Zaiter}, {Dan Pei and Jun Zhu}
federicozaiter, Justin Cosentino
core   +1 more source

Scalable Low Power Accelerator for Sparse Recurrent Neural Network

天地一体化信息网络, 2023
The use of edge computing devices in bank outlets for passenger flow analysis, security protection, risk prevention and control is increasingly widespread, among which the performance and power consumption of AI reasoning chips have become a very ...
Panshi JIN, Junjie LI, Jingyi WANG, Pengchong LI, Lei XING, Xiaodong LI   +5 more
doaj  

The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography

Journal of Innovative Optical Health Sciences, 2022
Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse
Zezheng Qin, Yang Liu, Junke Chi, Yiming Ma, Mingjian Sun   +4 more
doaj   +1 more source

Sparse PCA from Sparse Linear Regression

CoRR, 2018
To appear in NeurIPS ...
Bresler, Guy, Park, Sung Min, Persu, Madalina   +2 more
openaire   +4 more sources

Sparse‐Dyn: Sparse dynamic graph multirepresentation learning via event‐based sparse temporal attention network

, 2022
Dynamic graph neural networks (DGNNs) have been widely used in modeling and representation learning of graph structure data. Current dynamic representation learning focuses on either discrete learning which results in temporal information loss, or ...
Liu, Chao, Chao Liu, Wang, Mengyu, Zhang, Ji, Yan Pang, Wang, Zhen, Pang, Yan, Shan, Ai, Lin, Jianwei, Ji Zhang, Zhen Wang, Teng Huang, Jianwei Li, Ai Shan, Mengyu Wang, Huang, Teng   +15 more
core   +1 more source

Factors of Sparse Polynomials are Sparse

CoRR, 2014
This paper was removed due to an error in the proof (Claim 4.12 as stated is not true)
Dvir, Zeev, de Oliveira, Rafael Mendes
openaire   +4 more sources