spectral analysis

Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision NeurIPS 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013 Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections NeurIPS 2013 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Semi-supervised Eigenvectors for Locally-biased Learning NeurIPS 2012 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning AISTATS 2011 Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011 Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005