Computer Science

Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models NeurIPS 2012 GenDeR: A Generic Diversified Ranking Algorithm NeurIPS 2012 Hamming Distance Metric Learning NeurIPS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Isotropic Hashing NeurIPS 2012 Learning about Canonical Views from Internet Image Collections NeurIPS 2012 Learning and Model-Checking Networks of I/O Automata ACML 2012 Learning Functions of Halfspaces Using Prefix Covers COLT 2012 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Locality Preserving Feature Learning AISTATS 2012 Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features JMLR 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Multiple Operator-valued Kernel Learning NeurIPS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Multi-view Positive and Unlabeled Learning ACML 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 One Permutation Hashing NeurIPS 2012 Online L1-Dictionary Learning with Application to Novel Document Detection NeurIPS 2012 Online Rank Aggregation ACML 2012 On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking NeurIPS 2012 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012