Image Classification Using a Mixture of Subspace Models
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[1] Jitendra Malik,et al. Discriminative Decorrelation for Clustering and Classification , 2012, ECCV.
[2] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[3] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[4] G. Griffin,et al. Caltech-256 Object Category Dataset , 2007 .
[5] Ken-ichi Maeda,et al. Face recognition using temporal image sequence , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[6] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[7] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[8] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[9] Hans-Peter Kriegel,et al. Subspace clustering , 2012, WIREs Data Mining Knowl. Discov..
[10] ZissermanAndrew,et al. The Pascal Visual Object Classes Challenge , 2015 .
[11] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[12] Florent Perronnin,et al. Fisher Kernels on Visual Vocabularies for Image Categorization , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Nanda Kambhatla,et al. Dimension Reduction by Local Principal Component Analysis , 1997, Neural Computation.
[14] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[15] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[16] David J. Kriegman,et al. Clustering appearances of objects under varying illumination conditions , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[17] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[18] Naoki Mukawa,et al. Kernel mutual subspace method for robust facial image recognition , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).
[19] Yasuo Kuniyoshi,et al. Graphical Gaussian Vector for Image Categorization , 2012, NIPS.
[20] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[21] Olivier Ledoit,et al. A well-conditioned estimator for large-dimensional covariance matrices , 2004 .
[22] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[23] Thomas S. Huang,et al. Image Classification Using Super-Vector Coding of Local Image Descriptors , 2010, ECCV.
[24] Andrew Zisserman,et al. The devil is in the details: an evaluation of recent feature encoding methods , 2011, BMVC.
[25] Takumi Kobayashi,et al. BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.