Results 91 to 100 of about 114,572 (313)

Parametric dictionary design for sparse coding [PDF]

open access: yes, 2009
—This paper introduces a new dictionary design method for sparse coding of a class of signals. It has been shown that one can sparsely approximate some natural signals using an overcomplete set of parametric functions, e.g. [1], [2].
Yaghoobi, M.   +5 more
core  

New Directions In Sparse Sampling and Estimation For Underdetermined Systems [PDF]

open access: yes, 2013
A central objective in signal processing is to infer meaningful information from a set of measurements or data. While most signal models have an overdetermined structure (the number of unknowns less than the number of equations), traditionally very few ...
Piya Pal, Pal, Piya
core   +1 more source

A new flow chip in combination with multiphoton microscopy as a protocol for longitudinal 3D imaging of tissue calcification under shear stress

open access: yesFEBS Open Bio, EarlyView.
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas   +6 more
wiley   +1 more source

Face Recognition Algorithm Based on Correlation Coefficient and Ensemble-Augmented Sparsity

open access: yesIEEE Access, 2020
The representation-based classification method has become a research hotspot in recent years. Representation-based classifiers assign class labels directly to test samples based on a structured dictionary.
Ying Xu, Jinyong Cheng
doaj   +1 more source

A Hierarchical Bayesian Model for Frame Representation [PDF]

open access: yes, 2010
In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame
Amel Benazza-Benyahia   +9 more
core   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel   +8 more
wiley   +1 more source

Sparse Representation for Cyclotomic Fields [PDF]

open access: yesExperimental Mathematics, 2007
Currently, all major implementations of cyclotomic fields as well as number fields are based on a dense model in which elements are represented either as dense polynomials in the generator of the field or as coefficient vectors with respect to a fixed basis. While this representation allows for the asymptotically fastest arithmetic for general elements,
openaire   +2 more sources

AN L1 CRITERION FOR DICTIONARY LEARNING BY SUBSPACE IDENTIFICATION [PDF]

open access: yes, 2010
Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: 225913 (project SMALL).EPSRC Leadership Fellowship (EP/G007177 ...
Gribonval, Rémi   +11 more
core   +2 more sources

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

A deep semantic analysis based on sparse feature fusion and knowledge distillation in urban planning

open access: yesArray
To comprehensively analyze the deep semantic meaning, morphology, and attributes of targets across various scenarios and conditions, this study explores sparse feature fusion and knowledge distillation techniques in deep semantic analysis.
Yuan Li, Yutong Wang, Qi Shen
doaj   +1 more source

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