Classification

Reducing statistical time-series problems to binary classification NeurIPS 2012 Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection AISTATS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012 Searching for objects driven by context NeurIPS 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Sign Language Recognition using Sub-Units JMLR 2012 Sparse Additive Machine AISTATS 2012 Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012 Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NeurIPS 2012 Structured Output Learning with High Order Loss Functions AISTATS 2012 Structured Sparse Canonical Correlation Analysis AISTATS 2012 The Lovász ϑ function, SVMs and finding large dense subgraphs NeurIPS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012 Transductive Learning of Structural SVMs via Prior Knowledge Constraints AISTATS 2012 Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012 UPAL: Unbiased Pool Based Active Learning AISTATS 2012 Variational Inference for Crowdsourcing NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NeurIPS 2012 Visual Route Recognition with a Handful of Bits RSS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Acceleration Technique for Boosting Classification and its Application to Face Detection ACML 2011 A Close Look to Margin Complexity and Related Parameters COLT 2011 A Collaborative Mechanism for Crowdsourcing Prediction Problems NeurIPS 2011