Results 1 to 10 of about 965,256 (248)

Fast Sparse Coding for Range Data Denoising with Sparse Ridges Constraint

Sensors, 2018
Light detection and ranging (LiDAR) sensors have been widely deployed on intelligent systems such as unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) to perform localization, obstacle detection, and navigation tasks.
Zhi Gao, Mingjie Lao, Yongsheng Sang, Fei Wen, Bharath Ramesh, Ruifang Zhai   +5 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, Mate Tomoskozi, Juan A. Cabrera, Frank Gabriel, Dongho You, Frank H. P. Fitzek, Martin Reisslein   +6 more
doaj   +1 more source

Relating sparse and predictive coding to divisive normalization.

PLoS Computational Biology
Sparse coding, predictive coding and divisive normalization have each been found to be principles that underlie the function of neural circuits in many parts of the brain, supported by substantial experimental evidence.
Yanbo Lian, Anthony N Burkitt
doaj   +1 more source

Convolutional sparse coding network for sparse seismic time-frequency representation

Artificial Intelligence in Geosciences
Seismic time-frequency (TF) transforms are essential tools in reservoir interpretation and signal processing, particularly for characterizing frequency variations in non-stationary seismic data.
Qiansheng Wei, Zishuai Li, Haonan Feng, Yueying Jiang, Yang Yang, Zhiguo Wang   +5 more
doaj   +1 more source

Kernel locality‐constrained sparse coding for head pose estimation

IET Computer Vision, 2016
In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to.
Hyunduk Kim, Myoung‐Kyu Sohn, Dong‐Ju Kim, Sang‐Heon Lee   +3 more
doaj   +1 more source

Learning a Deep Representative Saliency Map With Sparse Tensors

IEEE Access, 2019
The past few years have witnessed the prosperity of establishing deep architectures for modeling complex structured data. In this paper, motivated by the hierarchical, multi-scale and sparse characteristics of Human Visual System (HVS), we advance a new ...
Shuyuan Yang, Quanwei Gao, Shigang Wang
doaj   +1 more source

Deep Neural Network Structured Sparse Coding for Online Processing

IEEE Access, 2018
Sparse coding, which aims at finding appropriate sparse representations of data with an overcomplete dictionary set, has become a mature class of methods with good efficiency in various areas, but it faces limitations in immediate processing such as real-
Haoli Zhao, Shuxue Ding, Xiang Li, Huakun Huang   +3 more
doaj   +1 more source

Traffic Scene Analysis using Hierarchical Sparse Topical Coding [PDF]

AUT Journal of Electrical Engineering, 2018
Analyzing motion patterns in traffic videos can be exploited directly to generate high-level descriptions of the video contents. Such descriptions may further be employed in different traffic applications such as traffic phase detection and abnormal ...
P. Ahmadi, I. Gholampour, M. Tabandeh
doaj   +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, She Kun, Raheel Ahmed Memon, Junaid Ahmed, Getnet Tefera   +4 more
doaj   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

IEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang, Rui Zhang, Shuyuan Yang, Licheng Jiao   +3 more
doaj   +1 more source