← Core Methods
Machine Learning › Core Methods ›

Classification

15289 directly classified papers

Papers per year

Papers

Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Birdsnap: Large-scale Fine-grained Visual Categorization of Birds CVPR 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Partition-wise Linear Models NIPS 2014
Saddle Points and Accelerated Perceptron Algorithms ICML 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Video Classification using Semantic Concept Co-occurrences CVPR 2014
A Wild Bootstrap for Degenerate Kernel Tests NIPS 2014
Learning a Concept Hierarchy from Multi-labeled Documents NIPS 2014
Self-Paced Learning with Diversity NIPS 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014
Robust learning of inhomogeneous PMMs AISTATS 2014
Optimal learners for multiclass problems COLT 2014
Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NIPS 2014
Parallel Feature Selection Inspired by Group Testing NIPS 2014
Local Decorrelation For Improved Pedestrian Detection NIPS 2014
Two-Stream Convolutional Networks for Action Recognition in Videos NIPS 2014
Object Localization based on Structural SVM using Privileged Information NIPS 2014
Learning Distributed Representations for Structured Output Prediction NIPS 2014
Decontamination of Mutually Contaminated Models AISTATS 2014
A Gaussian Latent Variable Model for Large Margin Classification of Labeled and Unlabeled Data AISTATS 2014
FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014
Detecting Objects using Deformation Dictionaries CVPR 2014