117 citations · 398 across the 51 of their papers we have counts for
4 papers · 1 filter
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators
Tal Shnitzer, Mirela Ben-Chen, Leonidas Guibas +2
Finding appropriate low dimensional representations of high-dimensional multi-modal data can be challenging, since each modality embodies unique deformations and interferences. In…
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation
Or Yair, Mirela Ben-Chen, Ronen Talmon
In this paper, we consider the problem of domain adaptation. We propose to view the data through the lens of covariance matrices and present a method for domain adaptation using pa…
Intrinsic Isometric Manifold Learning with Application to Localization
Ariel Schwartz, Ronen Talmon
Data living on manifolds commonly appear in many applications. Often this results from an inherently latent low-dimensional system being observed through higher dimensional measure…
Data-Driven Source Separation Based on Simplex Analysis
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
Blind source separation (BSS) is addressed, using a novel data-driven approach, based on a well-established probabilistic model. The proposed method is specifically designed for se…