Search Results for author:
Found 3 papers, 2 papers with code
A Dual Formulation for Probabilistic Principal Component Analysis
In this paper, we characterize Probabilistic Principal Component Analysis in Hilbert spaces and demonstrate how the optimal solution admits a representation in dual space.
Unbalanced Optimal Transport: A Unified Framework for Object Detection
The approach is well suited for GPU implementation, which proves to be an advantage for large-scale models.
Wasserstein Exponential Kernels
In the context of kernel methods, the similarity between data points is encoded by the kernel function which is often defined thanks to the Euclidean distance, a common example being the squared exponential kernel.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
