Computer Science

Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Random Sampling of States in Dynamic Programming NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Need for Open Source Software in Machine Learning JMLR 2007 A selective attention multi--chip system with dynamic synapses and spiking neurons NeurIPS 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 Balanced Graph Matching NeurIPS 2006 Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees NeurIPS 2006 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006 Distributed Inference in Dynamical Systems NeurIPS 2006 Fast Computation of Graph Kernels NeurIPS 2006 Image Retrieval and Classification Using Local Distance Functions NeurIPS 2006 Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions NeurIPS 2006 In-Network PCA and Anomaly Detection NeurIPS 2006 Learnability and the doubling dimension NeurIPS 2006 Learning Motion Style Synthesis from Perceptual Observations NeurIPS 2006 Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006 Learning to Rank with Nonsmooth Cost Functions NeurIPS 2006 Learning with Hypergraphs: Clustering, Classification, and Embedding NeurIPS 2006 Machine Learning for Computer Security JMLR 2006 Map-Reduce for Machine Learning on Multicore NeurIPS 2006 Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NeurIPS 2006 On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006