Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
暂无分享,去创建一个
Yaoliang Yu | Eric P. Xing | Raquel Urtasun | Richard S. Zemel | Marc T. Law | R. Zemel | E. Xing | Yaoliang Yu | R. Urtasun | M. Law
[1] Jun Wang,et al. Solving the Multiple-Instance Problem: A Lazy Learning Approach , 2000, ICML.
[2] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Zhi-Hua Zhou,et al. Learning a distance metric from multi-instance multi-label data , 2009, CVPR.
[4] Marco Loog,et al. Multiple instance learning with bag dissimilarities , 2013, Pattern Recognit..
[5] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations: II. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[6] Thomas G. Dietterich,et al. Solving the Multiple Instance Problem with Axis-Parallel Rectangles , 1997, Artif. Intell..
[7] Francis R. Bach,et al. Large-Margin Metric Learning for Constrained Partitioning Problems , 2014, ICML.
[8] Matthieu Cord,et al. Learning a Distance Metric from Relative Comparisons between Quadruplets of Images , 2016, International Journal of Computer Vision.
[9] Frédéric Jurie,et al. PCCA: A new approach for distance learning from sparse pairwise constraints , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Matthieu Cord,et al. Closed-Form Training of Mahalanobis Distance for Supervised Clustering , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[12] Yaoliang Yu,et al. Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering , 2011, UAI.
[13] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[14] Brian Kulis,et al. Metric Learning: A Survey , 2013, Found. Trends Mach. Learn..
[15] Thomas Hofmann,et al. Support Vector Machines for Multiple-Instance Learning , 2002, NIPS.
[16] David A. Forsyth,et al. Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary , 2002, ECCV.
[17] Qi Zhang,et al. EM-DD: An Improved Multiple-Instance Learning Technique , 2001, NIPS.
[18] François Bourgeois,et al. An extension of the Munkres algorithm for the assignment problem to rectangular matrices , 1971, CACM.
[19] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[20] Bernhard Schölkopf,et al. A Generalized Representer Theorem , 2001, COLT/EuroCOLT.
[21] Paul A. Viola,et al. Multiple Instance Boosting for Object Detection , 2005, NIPS.
[22] Feiping Nie,et al. Robust and discriminative distance for Multi-Instance Learning , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Harold W. Kuhn,et al. The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.
[24] Chris H. Q. Ding,et al. Spectral Relaxation for K-means Clustering , 2001, NIPS.
[25] Cordelia Schmid,et al. Multiple Instance Metric Learning from Automatically Labeled Bags of Faces , 2010, ECCV.
[26] Yee Whye Teh,et al. Names and faces in the news , 2004, CVPR 2004.
[27] Jiming Peng,et al. Approximating K-means-type Clustering via Semidefinite Programming , 2007, SIAM J. Optim..
[28] S. P. Lloyd,et al. Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.
[29] L Sirovich,et al. Low-dimensional Procedure for the Characterization of Human Faces , 1986 .
[30] James R. Foulds,et al. Revisiting Multiple-Instance Learning Via Embedded Instance Selection , 2008, Australasian Conference on Artificial Intelligence.
[31] Michael L. Overton,et al. Optimality conditions and duality theory for minimizing sums of the largest eigenvalues of symmetric matrices , 2015, Math. Program..
[32] A. Atiya,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[33] Baoxin Li,et al. Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Thomas Gärtner,et al. Multi-Instance Kernels , 2002, ICML.
[35] Matthieu Cord,et al. Fantope Regularization in Metric Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] K. Fan. On a Theorem of Weyl Concerning Eigenvalues of Linear Transformations I. , 1949, Proceedings of the National Academy of Sciences of the United States of America.
[37] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[38] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[39] Yixin Chen,et al. MILES: Multiple-Instance Learning via Embedded Instance Selection , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.