VLFeat.org

R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.

R. Arandjelovic and A. Zisserman. All about VLAD. In Proc. CVPR, 2013.

D. Arthur and S. Vassilvitskii. k-means++: The advantages of careful seeding. In Proc. ACM-SIAM Symp. on Discrete Algorithms, 2007.

J. S. Beis and D. G. Lowe. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In Proc. CVPR, 1997.

N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. CVPR, 2005.

A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal Of The Royal Statistical Society, 39(1):1–38, 1977.

C. Elkan. Using the triangle inequality to accelerate k-means. In Proc. ICML, 2003.

P. F. Felzenszwalb, R. B. Grishick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 2009.

C.-J. Hsieh, K.-W. Chang, C.-J. Lin, S. S. Keerthi, and S. Sundararajan. A dual coordinate descent method for large-scale linear svm. In Proc. ICML, 2008.

T. S. Jaakkola and D. Haussler. Exploiting generative models in discriminative classifiers. In Proc. NIPS, 1998.

H. Jegou, M. Douze, C. Schmid, and P. Perez. Aggregating local descriptors into a compact image representation. In Proc. CVPR, 2010.

D. B. Kinghorn. Integrals and derivatives for correlated gaussian fuctions using matrix differential calculus. International Journal of Quantum Chemestry, 57:141–155, 1996.

J. Koenderink. The structure of images. Biological Cybernetics, 50, 1984.

T. Lindeberg. Scale-Space Theory in Computer Vision. Springer, 1994.

T. Lindeberg. Principles for automatic scale selection. Technical Report ISRN KTH/NA/P 98/14 SE, Royal Institute of Technology, 1998.

S. Lloyd. Least square quantization in PCM. IEEE Trans. on Information Theory, 28(2), 1982.

D. G. Lowe. Object recognition from local scale-invariant features. In Proc. ICCV, 1999.

A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki. The DET curve in assessment of detection task performance. In Proc. Conf. on Speech Communication and Technology, 1997.

J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In Proc. BMVC, 2002.

M. Matsumoto and T. Nishimura. Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans. Model. Comput. Simul., 8(1), 1998.

M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithmic configuration. In Proc. VISAPP, 2009.

T. Ojala, M. Pietikäinen, and M. Mäenpää. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI, 2010.

F. Perronnin and C. Dance. Fisher kenrels on visual vocabularies for image categorizaton. In Proc. CVPR, 2006.

Florent Perronnin, Jorge Sánchez, and Thomas Mensink. Improving the fisher kernel for large-scale image classification. In Proc. ECCV, 2010.

S. Shalev-Shwartz and T. Zhang. Stochastic dual coordinate ascent methods for regularized loss minimization. Number arXiv:1209.1873v2, 2013.

S. Shalev-Shwartz, Y. Singer, and N. Srebro. Pegasos: Primal estimated sub-GrAdient SOlver for SVM. In Proc. ICML, 2007.

C. Silpa-Anan and R. Hartley. Optimised KD-trees for fast image descriptor matching. In Proc. CVPR, 2008.

N. Slonim and N. Tishby. Agglomerative information bottleneck. In Proc. NIPS, 1999.

A. Vedaldi and S. Soatto. Quick shift and kernel methods for mode seeking. In Proc. ECCV, 2008.

A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In Proc. CVPR, 2010.

A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. PAMI, 34(3), 2012.

Z. Wang, B. Fan, and F. Wu. Local intensity order pattern for feature description. In Proc. ICCV, 2011.

A. P. Witkin. Scale-space filtering. In Proc. Int. Conf. on Artificial Intelligence, 1983.