Papers
Shadow Dirichlet for Restricted Probability Modeling
Bela Frigyik, Maya Gupta, Yihua Chen
Short-term memory in neuronal networks through dynamical compressed sensing
Surya Ganguli, Haim Sompolinsky
Sidestepping Intractable Inference with Structured Ensemble Cascades
David Weiss, Benjamin Sapp, Ben Taskar
Simple Exponential Family PCA
Jun Li, Dacheng Tao
Simultaneous Object Detection and Ranking with Weak Supervision
Matthew Blaschko, Andrea Vedaldi, Andrew Zisserman
Single versus Multiple Sorting in All Pairs Similarity Search
Yasuo Tabei, Takeaki Uno, Masashi Sugiyama et al.
Singularity-invariant leg rearrangements in doubly-planar Stewart-Gough platforms
J. B. Sol, F. Thomas and C. Torras
Size Matters: Metric Visual Search Constraints from Monocular Metadata
Mario Fritz, Kate Saenko, Trevor Darrell
Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan P. Adams
Smoothness, Low Noise and Fast Rates
Nathan Srebro, Karthik Sridharan, Ambuj Tewari
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
Anand Singh, Renaud Jolivet, Pierre Magistretti et al.
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
Nevena Lazic, Brendan Frey, Parham Aarabi
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
Stefan Harmeling, Hirsch Michael, Bernhard Schölkopf
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
Paul Mckeigue, Jon Krohn, Amos J. Storkey et al.
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
Sparse Semi-supervised Learning Using Conjugate Functions
Shiliang Sun, John Shawe-Taylor
Sparse Spectrum Gaussian Process Regression
Miguel Lázaro-Gredilla, Joaquin Quiñnero-Candela, Carl Edward Rasmussen et al.
Spatial and anatomical regularization of SVM for brain image analysis
Remi Cuingnet, Marie Chupin, Habib Benali et al.
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
Spectral Regularization for Support Estimation
Ernesto D. Vito, Lorenzo Rosasco, Alessandro Toigo
Sphere Embedding: An Application to Part-of-Speech Induction
Yariv Maron, Michael Lamar, Elie Bienenstock
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Sylvain Chevallier, Hél\`ene Paugam-moisy, Michele Sebag
Spike timing-dependent plasticity as dynamic filter
Joscha Schmiedt, Christian Albers, Klaus Pawelzik
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
Han Liu, Kathryn Roeder, Larry Wasserman