Classification

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Distance Encoded Product Quantization CVPR 2014 Distribution-independent Reliable Learning COLT 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Dual Linear Regression Based Classification for Face Cluster Recognition CVPR 2014 Dynamic Programming Boosting for Discriminative Macro-Action Discovery ICML 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014 Effective String Processing and Matching for Author Disambiguation JMLR 2014 Efficient Boosted Exemplar-based Face Detection CVPR 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Efficient Optimization for Average Precision SVM NeurIPS 2014 Efficient Sample Mining for Object Detection ACML 2014 Ensemble Methods for Structured Prediction ICML 2014 EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines JMLR 2014 Event Detection using Multi-Level Relevance Labels and Multiple Features CVPR 2014 Exchangeable Variable Models ICML 2014 Expectation Backpropagation: Parameter-Free Training of Multilayer Neural Networks with Continuous or Discrete Weights NeurIPS 2014 Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NeurIPS 2014 Facial Expression Recognition via a Boosted Deep Belief Network CVPR 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Fast SVM Training Using Approximate Extreme Points JMLR 2014 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014 Flexible Transfer Learning under Support and Model Shift NeurIPS 2014