Documentation>C API
Bibliography
[1]

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

[2]

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

[3]

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

[4]

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

[5]

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

[6]

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.

[7]

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

[8]

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

[9]

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.

[10]

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

[11]

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

[12]

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

[13]

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

[14]

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

[15]

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

[16]

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

[17]

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

[18]

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.

[19]

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

[20]

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

[21]

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

[22]

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

[23]

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

[24]

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

[25]

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

[26]

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

[27]

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

[28]

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

[29]

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

[30]

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

[31]

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

[32]

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

[33]

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