Mathematics

Convergence of Laplacian Eigenmaps NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Distance Patterns in Structural Similarity JMLR 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006 Generation of Point-contact State Space between Strictly Curved Objects RSS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Graph Laplacian Regularization for Large-Scale Semidefinite Programming NeurIPS 2006 High-Dimensional Graphical Model Selection Using ℓ_1-Regularized Logistic Regression NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints RSS 2006 Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NeurIPS 2006 Learning a Hidden Hypergraph JMLR 2006 Learning annotated hierarchies from relational data NeurIPS 2006 Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Linear State-Space Models for Blind Source Separation JMLR 2006 Multi-loop Position Analysis via Iterated Linear Programming RSS 2006 Nonparametric Quantile Estimation JMLR 2006 Prediction on a Graph with a Perceptron NeurIPS 2006