A dictionary‐based graph‐cut algorithm for MRI reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "NMR in Biomedicine"
DOI: 10.1002/nbm.4344
Abstract: Compressive sensing (CS)‐based image reconstruction methods have proposed random undersampling schemes that produce incoherent, noise‐like aliasing artifacts, which are easier to remove. The denoising process is critically assisted by imposing sparsity‐enforcing priors. Sparsity is known… read more here.
Keywords: reconstruction; based graph; graph cut; cut algorithm ... See more keywords
Imbalanced Classification via Feature Dictionary-based Minority Oversampling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161510
Abstract: Image classification research is one of the fields continuously studied in the computer vision domain, and several related studies have been actively conducted until recently. However, a limit exists regarding the prediction performance of real-world… read more here.
Keywords: classification; feature dictionary; feature; minority ... See more keywords
Temperature and Emissivity Retrieval From Hyperspectral Thermal Infrared Data Using Dictionary-Based Sparse Representation for Emissivity
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3268860
Abstract: The separation of land surface temperature (LST) and land surface emissivity (LSE) is an ill-posed problem in thermal infrared (TIR) remote sensing. By building a new observation matrix to compress the LSE unknown and a… read more here.
Keywords: dictionary based; temperature; method; thermal infrared ... See more keywords
FB Dictionary Based SSBL-EM and Its Application for Multi-Class SSVEP Classification Using Eight-Channel EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3150848
Abstract: Many applications of signal processing require efficient reconstruction and economical processing of a signal. A classical approach for efficient reconstruction and economical processing of signal is compression. In recent studies, compressed sensing (CS) is an… read more here.
Keywords: processing; classification; efficient reconstruction; reconstruction ... See more keywords
Spectral Angiography Material Decomposition Using an Empirical Forward Model and a Dictionary-Based Regularization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2018.2840841
Abstract: By resolving the energy of the incident X-ray photons, spectral X-ray imaging with photon counting detectors offers additional material-specific information compared to conventional X-ray imaging. This additional information can be used to improve clinical diagnosis… read more here.
Keywords: decomposition; angiography; model; dictionary based ... See more keywords
Dictionary-Based Statistical Fingerprinting for Indoor Localization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2929360
Abstract: Indoor localization is a challenging task as the signal propagation in indoor environments does not adhere to the classical path loss or other simple models. Modern high-accuracy indoor localization algorithms rely on fingerprinting methods that… read more here.
Keywords: indoor localization; based statistical; fingerprinting indoor; statistical fingerprinting ... See more keywords
Dictionary-based compressive Fourier ptychography.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.450852
Abstract: Fourier ptychography (FP) provides an alternative scheme for improving the spatial bandwidth product with limited device. However, an angle-variation illumination is necessary to realize scanning imaging in the Fourier plane, which dramatically restricts the imaging… read more here.
Keywords: ptychography; compressive fourier; fourier ptychography; dictionary based ... See more keywords
Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19116759
Abstract: Despite the popularity and efficiency of dictionary-based sentiment analysis (DSA) for public health research, limited empirical evidence has been produced about the validity of DSA and potential harms to the validity of DSA. A random… read more here.
Keywords: validity dsa; sentiment; based sentiment; dictionary based ... See more keywords