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Classification

15289 directly classified papers

Papers per year

Papers

Context-Sensitive Decision Forests for Object Detection NIPS 2012
Kernel Latent SVM for Visual Recognition NIPS 2012
Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NIPS 2012
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
ImageNet Classification with Deep Convolutional Neural Networks NIPS 2012
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NIPS 2012
A systematic approach to extracting semantic information from functional MRI data NIPS 2012
Variational Inference for Crowdsourcing NIPS 2012
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs NIPS 2012
A Polylog Pivot Steps Simplex Algorithm for Classification NIPS 2012
Feature-aware Label Space Dimension Reduction for Multi-label Classification NIPS 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Multilabel Classification using Bayesian Compressed Sensing NIPS 2012
Projection Retrieval for Classification NIPS 2012
Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification NIPS 2012
Perceptron Learning of SAT NIPS 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NIPS 2012
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models NIPS 2012
Randomized Optimum Models for Structured Prediction AISTATS 2012
Cocktail Party Processing via Structured Prediction NIPS 2012
A Conditional Multinomial Mixture Model for Superset Label Learning NIPS 2012
Inverse Reinforcement Learning through Structured Classification NIPS 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
A Composite Likelihood View for Multi-Label Classification AISTATS 2012
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach AISTATS 2012