← Core Methods
Machine Learning › Core Methods ›

Support Vector Machine

254 directly classified papers

Papers per year

Papers

Using support vector machines and state-of-the-art algorithms for phonetic alignment to identify cognates in multi-lingual wordlists EACL 2017
AccGenSVM: Selectively Transferring from Previous Hypotheses IJCAI 2017
Rescale-Invariant SVM for Binary Classification IJCAI 2017
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data NIPS 2016
Sample-Specific SVM Learning for Person Re-Identification CVPR 2016
Fast Algorithms for Linear and Kernel SVM+ CVPR 2016
Speech Features for Depression Detection INTERSPEECH 2016
Automatic Dialect Detection in Arabic Broadcast Speech INTERSPEECH 2016
GenSVM: A Generalized Multiclass Support Vector Machine JMLR 2016
Optimal Learning Rates for Localized SVMs JMLR 2016
Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes JMLR 2016
A Unified View on Multi-class Support Vector Classification JMLR 2016
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map CVPR 2016
Region Ranking SVM for Image Classification CVPR 2016
At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech INTERSPEECH 2016
K-hyperplane Hinge-Minimax Classifier ICML 2015
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle CVPR 2015
Three Viewpoints Toward Exemplar SVM CVPR 2015
Exemplar SVMs as Visual Feature Encoders CVPR 2015
Continuous Pose Estimation With a Spatial Ensemble of Fisher Regressors ICCV 2015
Low Dimensional Explicit Feature Maps ICCV 2015
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014
Linear Time Solver for Primal SVM ICML 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014