nearest neighbor

Stochastic Neighbor Compression ICML 2014 The sample complexity of agnostic learning under deterministic labels COLT 2014 Weakly Supervised Multiclass Video Segmentation CVPR 2014 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 Cluster Trees on Manifolds NeurIPS 2013 Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds CVPR 2013 Diffusion Processes for Retrieval Revisited CVPR 2013 Fast Subspace Search via Grassmannian Based Hashing ICCV 2013 Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation ICCV 2013 Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013 Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context CVPR 2013 Quantize and Conquer: A Dimensionality-Recursive Solution to Clustering, Vector Quantization, and Image Retrieval ICCV 2013 Universal Consistency of Localized Versions of Regularized Kernel Methods JMLR 2013 A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012 Diffusion Decision Making for Adaptive k-Nearest Neighbor Classification NeurIPS 2012 Local and Global Scaling Reduce Hubs in Space JMLR 2012 Local Anomaly Detection AISTATS 2012 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 Exploiting spatial overlap to efficiently compute appearance distances between image windows NeurIPS 2011 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Locally Linear Denoising on Image Manifolds AISTATS 2010 Single versus Multiple Sorting in All Pairs Similarity Search ACML 2010 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009