Search Results for author:
Found 7 papers, 2 papers with code
Gradient-Based Spectral Embeddings of Random Dot Product Graphs
RDPGs crucially postulate that edge formation probabilities are given by the dot product of the corresponding latent positions.
Online Change Point Detection for Weighted and Directed Random Dot Product Graphs
Given a sequence of random (directed and weighted) graphs, we address the problem of online monitoring and detection of changes in the underlying data distribution.
Re-Weighted $\ell_1$ Algorithms within the Lagrange Duality Framework: Bringing Interpretability to Weights
In this article we introduce a new methodology for updating the weights of a Re-Weighted $\ell_{1}$ algorithm, based on identifying these weights as Lagrange multipliers.
Graph Matching: Relax at Your Own Risk
Indeed, experimental results illuminate and corroborate these theoretical findings, demonstrating that excellent results are achieved in both benchmark and real data problems by amalgamating the two approaches.
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
We also present results on multimodal graphs and applications to collaborative inference of brain connectivity from alignment-free functional magnetic resonance imaging (fMRI) data.
A new framework for optimal classifier design
The use of alternative measures to evaluate classifier performance is gaining attention, specially for imbalanced problems.
Topology Constraints in Graphical Models
Graphical models are a very useful tool to describe and understand natural phenomena, from gene expression to climate change and social interactions.
