Papers
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
Wenming Zheng, Zhouchen Lin
Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions
Matthias Bethge, Eero P. Simoncelli, Fabian H. Sinz
A joint maximum-entropy model for binary neural population patterns and continuous signals
Sebastian Gerwinn, Philipp Berens, Matthias Bethge
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
Ruben Coen-cagli, Peter Dayan, Odelia Schwartz
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher
Speaker Comparison with Inner Product Discriminant Functions
Zahi Karam, Douglas Sturim, William M. Campbell
Statistical Consistency of Top-k Ranking
Fen Xia, Tie-yan Liu, Hang Li
Learning in Markov Random Fields using Tempered Transitions
Ruslan Salakhutdinov
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
Yusuke Watanabe, Kenji Fukumizu
Tracking Dynamic Sources of Malicious Activity at Internet Scale
Shobha Venkataraman, Avrim Blum, Dawn Song et al.
Slow Learners are Fast
Martin Zinkevich, John Langford, Alex J. Smola
Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang et al.
The Ordered Residual Kernel for Robust Motion Subspace Clustering
Tat-jun Chin, Hanzi Wang, David Suter
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
Garvesh Raskutti, Bin Yu, Martin J. Wainwright
Maximum likelihood trajectories for continuous-time Markov chains
Theodore J. Perkins
Efficient Moments-based Permutation Tests
Chunxiao Zhou, Huixia J. Wang, Yongmei M. Wang
A Generalized Natural Actor-Critic Algorithm
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto et al.
Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari, Sewoong Oh
Optimal Scoring for Unsupervised Learning
Zhihua Zhang, Guang Dai
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
Sanja Fidler, Marko Boben, Ales Leonardis
Fast Learning from Non-i.i.d. Observations
Ingo Steinwart, Andreas Christmann
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
Gunhee Kim, Antonio Torralba
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
Bangpeng Yao, Dirk Walther, Diane Beck et al.
Region-based Segmentation and Object Detection
Stephen Gould, Tianshi Gao, Daphne Koller