linear discriminant analysis

Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering Interspeech 2016 Dense Semantic Correspondence Where Every Pixel is a Classifier ICCV 2015 Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures AISTATS 2015 Fast Classification Rates for High-dimensional Gaussian Generative Models NeurIPS 2015 Heteroscedastic Max-Min Distance Analysis CVPR 2015 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015 Dimensionality Reduction with Subspace Structure Preservation NeurIPS 2014 Linear Ranking Analysis CVPR 2014 Making Fisher Discriminant Analysis Scalable ICML 2014 Merging SVMs with Linear Discriminant Analysis: A Combined Model CVPR 2014 Randomized Nonlinear Component Analysis ICML 2014 Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning CVPR 2014 Fast High Dimensional Vector Multiplication Face Recognition ICCV 2013 Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013 Sparse Uncorrelated Linear Discriminant Analysis ICML 2013 Training Deformable Part Models with Decorrelated Features ICCV 2013 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NeurIPS 2011 The SHOGUN Machine Learning Toolbox JMLR 2010 Worst-Case Linear Discriminant Analysis NeurIPS 2010 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008 Discriminative K-means for Clustering NeurIPS 2007 Subspace-Based Face Recognition in Analog VLSI NeurIPS 2007 Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis JMLR 2006 Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems JMLR 2005