Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups

zheng, 2012, Learning hybrid part filters for scene recognition, Proc 12th ECCV, 172

fernando, 2012, Effective use of frequent itemset mining for image classification, Proc 12th ECCV, 214

feng, 2011, Geometric $\ell _{p}$ -norm feature pooling for image classification, Proc IEEE Conf CVPR, 2609

10.1109/ICCV.2013.42

everingham, 2007, The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results

10.1109/CVPR.2009.5206537

10.1109/ICCV.2013.422

10.1109/CVPR.2013.102

10.1109/CVPR.2013.115

kwitt, 2012, Scene recognition on the semantic manifold, Proc 12th ECCV, 359

xing, 2010, Object bank: A high-level image representation for scene classification & semantic feature sparsification, Advances in Neural Information Processing Systems 23, 1378

10.1109/CVPR.2012.6248111

10.1002/mrm.20965

10.1007/s11263-005-3222-z

10.1109/TPAMI.2012.259

wang, 2004, An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation, Proc IEEE Conf CVPR, 1, 228

10.1109/TPAMI.2008.75

10.1109/CVPR.2013.233

10.1109/TPAMI.2004.37

10.1109/TCSVT.2007.893837

10.1145/1390156.1390204

10.1109/TNNLS.2013.2245340

lu, 2012, Robust and efficient subspace segmentation via least squares regression, Proc ECCV, 347

10.1109/CVPR.2006.68

10.1109/TCSVT.2011.2181452

10.1109/CVPR.2013.17

10.1109/CVPR.2004.383

10.1137/050637996

tuzel, 2006, Region covariance: A fast descriptor for detection and classification, Proc ECCV, 589

10.1109/ICCV.2013.202

10.1007/3-540-31272-2_17

carreira, 2012, Semantic segmentation with second-order pooling, Proc ECCV, 430

10.1109/TPAMI.2007.250598

10.1145/1961189.1961199

10.1109/CVPR.2011.5995564

vedaldi, 2008, Vlfeat An Open and Portable Library of Computer Vision Algorithms

wang, 2012, Covariance discriminative learning: A natural and efficient approach to image set classification, Proc IEEE Conf CVPR, 2496

li, 2013, A novel earth mover’s distance methodology for image matching with Gaussian mixture models, Proc IEEE ICCV, 1689

gao, 2010, Kernel sparse representation for image classification and face recognition, Proc 11th ECCV, 1

chevalley, 1999, Theory of Lie Groups

nguyen, 2012, Sparse embedding: A framework for sparsity promoting dimensionality reduction, Proc 12th ECCV, 414

10.1109/CVPR.2008.4587521

perronnin, 2010, Improving the Fisher kernel for large-scale image classification, Proc 11th ECCV, 143

10.1017/CBO9780511804441

10.1109/ICCV.2011.6126445

goldbergerm, 2004, Neighbourhood components analysis, Advances in Neural Information Process, 513