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Found 12 papers, 1 papers with code
Optimal Transport for Kernel Gaussian Mixture Models
The Wasserstein distance from optimal mass transport (OMT) is a powerful mathematical tool with numerous applications that provides a natural measure of the distance between two probability distributions.
Data Assimilation for Sign-indefinite Priors: A generalization of Sinkhorn's algorithm
The resulting algorithm generalizes the Sinkhorn algorithm in that it amounts to iterative scaling of the entries of the array along different coordinate directions.
Promotion/Inhibition Effects in Networks: A Model with Negative Probabilities
Herein we address the inverse problem to determine network edge-weights based on a sign-indefinite adjacency and expression levels at the nodes.
Wasserstein Image Local Analysis: Histogram of Orientations, Smoothing and Edge Detection
We approach the directionality problem from a novel perspective by the use of the optimal transport map of a local image patch to a uni-color patch of its mean.
Optimal transport for vector Gaussian mixture models
Vector-valued Gaussian mixtures form an important special subset of vector-valued distributions.
Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation
Variations in hematoxylin and eosin (H&E) stained images (due to clinical lab protocols, scanners, etc) directly impact the quality and accuracy of clinical diagnosis, and hence it is important to control for these variations for a reliable diagnosis.
Kernel Wasserstein Distance
The Wasserstein distance is a powerful metric based on the theory of optimal transport.
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening
The spiculation quantification measures was then applied to the radiomics framework for pathological malignancy prediction with reproducible semi-automatic segmentation of nodule.
GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport
The glymphatic system (GS) is a transit passage that facilitates brain metabolic waste removal and its dysfunction has been associated with neurodegenerative diseases such as Alzheimer's disease.
Affine Differential Invariants for Invariant Feature Point Detection
Image feature points are detected as pixels which locally maximize a detector function, two commonly used examples of which are the (Euclidean) image gradient and the Harris-Stephens corner detector.
Interactive Image Segmentation From A Feedback Control Perspective
Image segmentation is a fundamental problem in computational vision and medical imaging.
An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma
Toward that end, our network modeling focused upon the IGF-1R-PI3K-Akt-mTOR pathway, which is of proven importance in ES.
