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Structured Prediction

170 directly classified papers

Papers per year

Papers

Conditional Random Fields via Univariate Exponential Families NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Dirty Statistical Models NIPS 2013
Structured Learning via Logistic Regression NIPS 2013
Poselet Conditioned Pictorial Structures CVPR 2013
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking CVPR 2013
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013
A Principled Deep Random Field Model for Image Segmentation CVPR 2013
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus CVPR 2013
Discriminative Re-ranking of Diverse Segmentations CVPR 2013
Discriminative Non-blind Deblurring CVPR 2013
Graph-Based Optimization with Tubularity Markov Tree for 3D Vessel Segmentation CVPR 2013
Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets CVPR 2013
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
Object Detection with Grammar Models NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound NIPS 2011
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010
Direct Loss Minimization for Structured Prediction NIPS 2010
Sidestepping Intractable Inference with Structured Ensemble Cascades NIPS 2010
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces NIPS 2010
Empirical Risk Minimization with Approximations of Probabilistic Grammars NIPS 2010
Structured Determinantal Point Processes NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010