Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics
Sign Up to like & getrecommendations! Published in 2018 at "Brain Topography"
DOI: 10.1007/s10548-018-0682-3
Abstract: Exploration of brain dynamics patterns has attracted increasing attention due to its fundamental significance in understanding the working mechanism of the brain. However, due to the lack of effective modeling methods, how the simultaneously recorded… read more here.
Keywords: sparse coding; connectivity; brain dynamics; local field ... See more keywords
Defect Detection of Industrial Radiography Images of Ammonia Pipes by a Sparse Coding Model
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Nondestructive Evaluation"
DOI: 10.1007/s10921-017-0458-9
Abstract: Pipeline transportation systems for liquid anhydrous ammonia require periodic inspections for pipe defects. Defects such as crack-like flaws, including those due to stress corrosion and fatigue crack growth and fatigue of welded joints, can be… read more here.
Keywords: detection; coding model; defect detection; sparse coding ... See more keywords
Click data guided query modeling with click propagation and sparse coding
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5703-4
Abstract: We address the problem of fine-grained image recognition using user click data, wherein each image is represented as a semantical query-click feature vector. Usually, the query set obtained from search engines is large-scale and redundant,… read more here.
Keywords: query; sparse coding; click feature; click data ... See more keywords
Structure Preserving Sparse Coding for Data Representation
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9796-6
Abstract: Sparse coding methods have shown the superiority in data representation. However, traditional sparse coding methods cannot explore the manifold structure embedded in data. To alleviate this problem, a novel method, called Structure Preserving Sparse Coding… read more here.
Keywords: preserving sparse; data representation; structure preserving; sparse coding ... See more keywords
Echocardiography image enhancement using texture-cartoon separation
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104535
Abstract: Due to the speckled nature of cardiac ultrasound imaging, it is not easy to process and extract useful information directly from the acquired image. In this work, we have proposed a method to reduce the… read more here.
Keywords: image; sparse coding; cartoon; enhancement ... See more keywords
Image categorization using non-negative kernel sparse representation
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.144
Abstract: Abstract Sparse representation of signals have become an important tool in computer vision. In many computer vision applications such as image denoising, image super-resolution and object recognition, sparse representations have produced remarkable performances. Sparse representation… read more here.
Keywords: image; sparse representation; sparse coding; non negative ... See more keywords
Locality-aware group sparse coding on Grassmann manifolds for image set classification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.026
Abstract: Abstract Riemannian sparse coding methods are attracting increasing interest in many computer vision applications, relying on its non-Euclidean structure. One such recently successful task is image set classification by the aid of Grassmann Manifolds, where… read more here.
Keywords: image; classification; sparse coding; locality ... See more keywords
Trimmed sparse coding for robust face recognition
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.2072
Abstract: In sparse representation (SR), a test image is encoded by a sparse linear combination of training samples. The L 1-regulariser used in SR is beneficial to produce a good reconstruction of the test face image… read more here.
Keywords: robust face; trimmed sparse; coding robust; sparse coding ... See more keywords
Tire defect classification using a deep convolutional sparse-coding network
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abddf3
Abstract: Automatic quality control has garnered great interest from academia and industry in recent decades. Tire defect detection and classification are critical research topics for driving safety and improving yields. In this work, a novel deep… read more here.
Keywords: tire defect; classification; network; sparse coding ... See more keywords
Combining sparse coding and time-domain features for heart sound classification.
Sign Up to like & getrecommendations! Published in 2017 at "Physiological measurement"
DOI: 10.1088/1361-6579/aa7623
Abstract: OBJECTIVE This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which used sparse coding as a feature extraction tool on audio PCG data for heart sound classification. APPROACH In sparse coding,… read more here.
Keywords: heart sound; classification; heart; sparse coding ... See more keywords
AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning.
Sign Up to like & getrecommendations! Published in 2018 at "Physiological measurement"
DOI: 10.1088/1361-6579/aaf35b
Abstract: OBJECTIVE The objective of this paper is to provide an algorithm for accurate, automated detection of atrial fibrillation (AF) from ECG signals. Four types of ECG signals are considered: normal signals, signals representing symptoms of… read more here.
Keywords: feature selection; feature; ecg; sparse coding ... See more keywords