Semi-supervised Eigenvectors for Locally-biased Learning
In many applications, one has side information, e.g., labels that are provided in a semi-supervised manner, about a specific target region of a large data set, and one wants to perform machine learning and data analysis tasks "nearby" that pre-specified ...
Michael W. Mahoney +3 more
core
ABSTRACT In this second part of our series of papers, we develop an abstract framework suitable for de Rham complexes that depend on a parameter belonging to an arbitrary Banach space. Our primary focus is on spectral perturbation problems and the differentiability of eigenvalues with respect to perturbations of the involved parameters. As a byproduct,
Pier Domenico Lamberti +2 more
wiley +1 more source
High-Throughput Computation of Anharmonic Low-Frequency Protein Vibrations. [PDF]
Sauer MA, Mondal S, Cano M, Heyden M.
europepmc +1 more source
ABSTRACT This paper develops a mathematical framework for interpreting observations of solar inertial waves in an idealized setting. Under the assumption of purely toroidal linear waves on the sphere, the stream function of the flow satisfies a fourth‐order scalar equation.
Tram Thi Ngoc Nguyen +3 more
wiley +1 more source
Ambiguities in Assigning Single-Crystal NMR Data to Individual Atoms in the Crystal Structure: A Case Study of Hambergite, Be<sub>2</sub>BO<sub>3</sub>OH, by <sup>9</sup>Be and <sup>11</sup>B NMR Spectroscopy, XRD Measurements and DFT Calculations. [PDF]
Steinadler J +6 more
europepmc +1 more source
Differentiation of Plant and Animal‐Derived Cholesterol Using irm‐13C NMR and IRMS
Determining and certifying the origin of ingredients, starting materials, and excipients used in manufactured goods like cosmetics and medicines can be difficult. In this report, we describe a robust approach for identifying the origin of cholesterol, a component of myriad consumer products using irm‐13C NMR and IRMS to differentiate plant versus ...
Anika M. Singh +3 more
wiley +1 more source
Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods. [PDF]
Gaskins AJ, Xia J, Bueno IT, Silva CA.
europepmc +1 more source
Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz +5 more
wiley +1 more source
A Logratio Approach to the Analysis of Autosomal Genotype Frequencies Across Multiple Samples. [PDF]
Graffelman J.
europepmc +1 more source
ABSTRACT Purpose Increase clinical acceptance of MRE and DTI by shortening the scan time by half and providing diffusive and mechanical property maps that are inherently co‐registered. This proof‐of‐concept study evaluates the simultaneous DTI‐MRE acquisition in the human brain and compares its results to conventional DTI and MRE measurements.
Shujun Lin +4 more
wiley +1 more source

