linear classifier

A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014 Coding for Random Projections ICML 2014 Efficient Feature Extraction, Encoding and Classification for Action Recognition CVPR 2014 Learning Mixtures of Linear Classifiers ICML 2014 Saddle Points and Accelerated Perceptron Algorithms ICML 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Training Highly Multiclass Classifiers JMLR 2014 A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers ICML 2013 Decomposing Bag of Words Histograms ICCV 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013 Unconfused Ultraconservative Multiclass Algorithms ACML 2013 Active Learning via Perfect Selective Classification JMLR 2012 Confidence-Weighted Linear Classification for Text Categorization JMLR 2012 Local Supervised Learning through Space Partitioning NeurIPS 2012 UPAL: Unbiased Pool Based Active Learning AISTATS 2012 Hashing Algorithms for Large-Scale Learning NeurIPS 2011 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Exact Convex Confidence-Weighted Learning NeurIPS 2008 GRIFT: A graphical model for inferring visual classification features from human data NeurIPS 2007 Considering Cost Asymmetry in Learning Classifiers JMLR 2006 Temporal dynamics of information content carried by neurons in the primary visual cortex NeurIPS 2006