Results 111 to 120 of about 114,572 (313)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro +14 more
wiley +1 more source
Sparse representation based action and gesture recognition [PDF]
, 2013 In this paper we present a solution to the problem of action and gesture recognition using sparse representations. The dictionary is modelled as a simple concatenation of features computed for each action or gesture class from the training data, and test
Robertson, Neil +5 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective We developed a novel electronic health record sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk +16 more
wiley +1 more source
Group Sparse Representation Based Dictionary Learning for SAR Image Despeckling
IEEE Access, 2019 Since the sparse representation coefficients of synthetic aperture radar (SAR) images often appear in clusters with intrinsic structure, traditional sparse representation theory cannot capture this property.
Su Liu, Gong Zhang, Wenbo Liu
doaj +1 more source
Data separation by sparse representations [PDF]
, 2012 Recently, sparsity has become a key concept in various areas of applied mathematics, computer science, and electrical engineering. One application of this novel methodology is the separation of data, which is composed of two (or more) morphologically distinct constituents. The key idea is to carefully select representation systems each providing sparse
openaire +2 more sources
Active Trace: A Sparse Spatiotemporal Representation for Videos [PDF]
, 2017 This paper proposes a sparse video representation with a deformable spatiotemporal template feature, named as active trace template. An active trace is the motion track of an active spatial feature which moves in a certain velocity.
Tian JD(田建东) +5 more
core
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2013 Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Çetin, Müjdat +2 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among patients receiving long‐term HCQ with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain optical coherence tomography (SD‐OCT) for screening ...
Narsis Daftarian +4 more
wiley +1 more source
Improved sparse representation method for image classification
IET Computer Vision, 2017 Among all image representation and classification methods, sparse representation has proven to be an extremely powerful tool. However, a limited number of training samples are an unavoidable problem for sparse representation methods.
Shigang Liu +4 more
doaj +1 more source
Automatic Face Recognition Based on Sparse Representation and Extended Transfer Learning
IEEE Access, 2019 Sparse representation has exhibited excellent performance in face recognition. However, this method requires some areas for improvement, especially on insufficient face samples.
Zhi Liu +5 more
doaj +1 more source