3 citations · 5 across the 7 of their papers we have counts for
7 papers
Exploiting chemical shift variability enables recovery of overlapping metabolites from 1H nuclear magnetic resonance spectra
Jesper Løve Hinrich, Pia Susan Mayer, Bekzod Khakimov +2
Overlapping peaks and sample-dependent chemical shift variability prevent reliable metabolite recovery from complex biological spectra. This problem is critical in one-dimensional…
Shift- and stretch-invariant non-negative matrix factorization with an application to brain tissue delineation in emission tomography data
Anders S. Olsen, Miriam L. Navarro, Claus Svarer +3
Dynamic neuroimaging data, such as emission tomography measurements of radiotracer transport in blood or cerebrospinal fluid, often exhibit diffusion-like properties. These introdu…
EM: Double Bounded -Divergence Optimization for Tensor-based Discrete Density Estimation
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
Tensor-based discrete density estimation requires flexible modeling and proper divergence criteria to enable effective learning; however, traditional approaches using -divergenc…
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays
Jesper Løve Hinrich, Morten Mørup
Tensors are ubiquitous in science and engineering and tensor factorization approaches have become important tools for the characterization of higher order structure. Factorizations…
PARAFAC2N: Coupled Decomposition of Multi-modal Data with Drift in N Modes
Michael D. Sorochan Armstrong, Jesper Løve Hinrich, A. Paulina de la Mata +1
Reliable analysis of comprehensive two-dimensional gas chromatography - time-of-flight mass spectrometry (GCGC-TOFMS) data is considered to be a major bottleneck for its wi…
Probabilistic PARAFAC2
Philip J. H. Jørgensen, Søren F. V. Nielsen, Jesper L. Hinrich +3
The PARAFAC2 is a multimodal factor analysis model suitable for analyzing multi-way data when one of the modes has incomparable observation units, for example because of difference…
Scalable Group Level Probabilistic Sparse Factor Analysis
Jesper L. Hinrich, Søren F. V. Nielsen, Nicolai A. B. Riis +6
Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation.…