* [113] Marcello Pelillo.  Replicator dynamics in combinatorial optimization.  In Encyclopedia of Optimization, Second Edition, pages 3279–3291. 2009.
  * [114] A. G. Amitha Perera, Chukka Srinivas, Anthony Hoogs, Glen Brooksby, and Wensheng Hu.  Multi-object tracking through simultaneous long occlusions and split-merge conditions.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 666–673, 2006.
  * [115] Roman P. Pflugfelder and Horst Bischof.  Tracking across non-overlapping views via geometry.  In International Conference on Pattern Recognition (ICPR), pages 1–4, 2008.
  * [116] Hamed Pirsiavash, Deva Ramanan, and Charless C. Fowlkes.  Globally-optimal greedy algorithms for tracking a variable number of objects.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1201–1208, 2011.
  * [117] Hamed Pirsiavash, Deva Ramanan, and Charless C. Fowlkes.  Globally-optimal greedy algorithms for tracking a variable number of objects.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1201–1208, 2011.
  * [118] Fatih Porikli, Oncel Tuzel, and Peter Meer.  Covariance tracking using model update based on lie algebra.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 728–735, 2006.
  * [119] Vittal Premachandran and Ramakrishna Kakarala.  Consensus of k-nns for robust neighborhood selection on graph-based manifolds.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1594–1601, 2013.
  * [120] Bryan James Prosser, Shaogang Gong, and Tao Xiang.  Multi-camera matching using bi-directional cumulative brightness transfer functions.  In British Machine Vision Conference (BMVC), pages 1–10, 2008\.
  * [121] Till Quack, Bastian Leibe, and Luc Van Gool.  World-scale mining of objects and events from community photo collections.  In Proceedings of the 2008 international conference on Content-based image and video retrieval, pages 47–56. ACM, 2008.
  * [122] Lawrence R Rabiner and Jay G Wilpon.  Considerations in applying clustering techniques to speaker-independent word recognition.  The Journal of the Acoustical Society of America, 66(3):663–673, 1979.
  * [123] Filip Radenovic, Giorgos Tolias, and Ondrej Chum.  CNN image retrieval learns from bow: Unsupervised fine-tuning with hard examples.  In European Conference on Computer Vision (ECCV), pages 3–20, 2016.
  * [124] Vijay V Raghavan and CT Yu.  A comparison of the stability characteristics of some graph theoretic clustering methods.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), (4):393–402, 1981.
  * [125] Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, and Matthew Brand.  Skyline2gps: Localization in urban canyons using omni-skylines.  In Intelligent Robots and Systems (IROS), pages 3816–3823, 2010\.
  * [126] C Radhakrishna Rao.  Cluster analysis applied to a study of race mixture in human populations.  In Classification and clustering: proceedings of an advanced seminar conducted by the Mathematics Research Center, the University of Wisconsin-Madison, number 37, page 175. Academic Press, 1977.
  * [127] D. B. Reid.  An algorithm for tracking multiple targets.  IEEE Transactions on Automatic Control, 1979.
  * [128] Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, and Carlo Tomasi.  Performance measures and a data set for multi-target, multi-camera tracking.  In European Conference on Computer Vision workshop (ECCV workshop), pages 17–35, 2016.
  * [129] Ergys Ristani and Carlo Tomasi.  Tracking multiple people online and in real time.  In Asian Conference on Computer Vision, pages 444–459. Springer, 2014.
  * [130] Andrew Rosenberg and Julia Hirschberg.  V-measure: A conditional entropy-based external cluster evaluation measure.  In EMNLP-CoNLL,Prague, Czech Republic, pages 410–420, 2007.
  * [131] Samuel Rota Bulò and Immanuel M. Bomze.  Infection and immunization: A new class of evolutionary game dynamics.  Games and Economic Behavior, 71(1):193–211, 2011.
  * [132] Samuel Rota Bulò, Marcello Pelillo, and Immanuel M. Bomze.  Graph-based quadratic optimization: A fast evolutionary approach.  Computer Vision and Image Understanding, 115(7):984–995, 2011.
  * [133] Peter J. Rousseeuw and Katrien Van Driessen.  A fast algorithm for the minimum covariance determinant estimator.  Technometrics, 41:212–223, 1998.
  * [134] Gerard Salton, Anita Wong, and Chung-Shu Yang.  A vector space model for automatic indexing.  Communications of the ACM, 18(11):613–620, 1975.
  * [135] Torsten Sattler, Michal Havlena, Konrad Schindler, and Marc Pollefeys.  Large-scale location recognition and the geometric burstiness problem.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1582–1590, 2016.
  * [136] Torsten Sattler, Bastian Leibe, and Leif Kobbelt.  Fast image-based localization using direct 2d-to-3d matching.  In IEEE International Conference on Computer Vision, pages 667–674. IEEE, 2011.
  * [137] Torsten Sattler, Bastian Leibe, and Leif Kobbelt.  Improving image-based localization by active correspondence search.  In European Conference on Computer Vision (ECCV), pages 752–765. Springer, 2012.
  * [138] Ann Scher, Micheal Shneir, and Azriel Rosenfeld.  Clustering of collinear line segments.  Pattern Recognition, 14(2):85–91, 1982.
  * [139] Grant Schindler, Matthew A. Brown, and Richard Szeliski.  City-scale location recognition.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
  * [140] Jianbo Shi and Jitendra Malik.  Normalized cuts and image segmentation.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 22(8):888–905, 2000.
  * [141] Horesh Ben Shitrit, Jérôme Berclaz, François Fleuret, and Pascal Fua.  Tracking multiple people under global appearance constraints.  In IEEE International Conference on Computer Vision (ICCV), pages 137–144, 2011.
  * [142] Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Hand, and Mubarak Shah.  Part-based multiple-person tracking with partial occlusion handling.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1815–1821, 2012.
  * [143] Karen Simonyan and Andrew Zisserman.  Very deep convolutional networks for large-scale image recognition.  arXiv preprint arXiv:1409.1556, 2014.
  * [144] G Siromoney, S Govindaraju, and M Bagavandas.  Temple carvings of southern india.  Perspectives in Computing, 4:34–43, 1985.
  * [145] F. Solera, S. Calderara, E. Ristani, C. Tomasi, and R. Cucchiara.  Tracking social groups within and across cameras.  IEEE Transactions on Circuits and Systems for Video Technology, 2016\.
  * [146] Francesco Solera, Simone Calderara, Ergys Ristani, Carlo Tomasi, and Rita Cucchiara.  Tracking social groups within and across cameras.  IEEE Transactions on Circuits and Systems for Video Technology, 27(3):441–453, 2017.
  * [147] Satyam Srivastava, Ka Ki Ng, and Edward J. Delp.  Color correction for object tracking across multiple cameras.  In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1821–1824, 2011.
  * [148] George Stockman, Steven Kopstein, and Sanford Benett.  Matching images to models for registration and object detection via clustering.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), (3):229–241, 1982.
  * [149] EL Sutanto, JD Mason, and Kevin Warwick.  Mean-tracking clustering algorithm for radial basis function centre selection.  International Journal of Control, 67(6):961–977, 1997.
  * [150] Yonatan Tariku Tesfaye and Marcello Pelillo.  Multi-target tracking using dominant sets.  M.Sc. thesis, Università Ca’Foscari Venezia, 2014.
  * [151] Yonatan Tariku Tesfaye, Eyasu Zemene, Marcello Pelillo, and Andrea Prati.  Multi-object tracking using dominant sets.  IET computer vision, 10:289–298, 2016.
  * [152] Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati, Marcello Pelillo, and Mubarak Shah.  Multi-target tracking in multiple non-overlapping cameras using constrained dominant sets.  arXiv preprint arXiv:1706.06196, 2017.
  * [153] Sinisa Todorovic and Narendra Ahuja.  Region-based hierarchical image matching.  International Journal of Computer Vision, 78(1):47–66, 2008.
  * [154] Giorgos Tolias, Ronan Sicre, and Hervé Jégou.  Particular object retrieval with integral max-pooling of CNN activations.  In International Conference on Learning Representations (ICLR), 2016.
  * [155] Akihiko Torii, Josef Sivic, Masatoshi Okutomi, and Tomás Pajdla.  Visual place recognition with repetitive structures.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 37(11):2346–2359, 2015.
  * [156] Akihiko Torii, Josef Sivic, Tomas Pajdla, and Masatoshi Okutomi.  Visual place recognition with repetitive structures.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 883–890, 2013.
  * [157] Gonzalo Vaca-Castano, Amir Roshan Zamir, and Mubarak Shah.  City scale geo-spatial trajectory estimation of a moving camera.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1186–1193, 2012.
  * [158] Sebastiano Vascon, Eyasu Zemene Mequanint, Marco Cristani, Hayley Hung, Marcello Pelillo, and Vittorio Murino.  A game-theoretic probabilistic approach for detecting conversational groups.  In Asian Conference on Computer Vision, pages 658–675. Springer, 2014.
  * [159] Senem Velipasalar, Jason Schlessman, Cheng-Yao Chen, Wayne Hendrix Wolf, and Jaswinder Singh.  A scalable clustered camera system for multiple object tracking.  EURASIP J. Image and Video Processing, 2008, 2008.
  * [160] Hongxing Wang, Chaoqun Weng, and Junsong Yuan.  Multi-feature spectral clustering with minimax optimization.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2014.
  * [161] Taiqing Wang, Shaogang Gong, Xiatian Zhu, and Shengjin Wang.  Person re-identification by video ranking.  In European Conference on Computer Vision (ECCV), pages 688–703, 2014.
  * [162] Youlu Wang, Senem Velipasalar, and Mustafa Cenk Gursoy.  Distributed wide-area multi-object tracking with non-overlapping camera views.  Multimedia Tools and Applications, 73(1):7–39, 2014.
  * [163] Tobias Weyand, Ilya Kostrikov, and James Philbin.  Planet-photo geolocation with convolutional neural networks.  arXiv preprint arXiv:1602.05314, 2016.
  * [164] Scott Workman, Richard Souvenir, and Nathan Jacobs.  Wide-area image geolocalization with aerial reference imagery.  In IEEE International Conference on Computer Vision, pages 3961–3969, 2015.
  * [165] Bo Wu and Ramakant Nevatia.  Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors.  International Journal of Computer Vision, 75(2):247–266, 2007.
  * [166] Zhenyu Wu and Richard Leahy.  An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 15(11):1101–1113, 1993.
  * [167] Junliang Xing, Haizhou Ai, and Shihong Lao.  Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1200–1207, 2009.
  * [168] Fei Xiong, Mengran Gou, Octavia I. Camps, and Mario Sznaier.  Person re-identification using kernel-based metric learning methods.  In European Conference on Computer Vision (ECCV), pages 1–16, 2014.
  * [169] Bo Yang and Ram Nevatia.  An online learned CRF model for multi-target tracking.  In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2034–2041, 2012.
  * [170] Bo Yang and Ram Nevatia.  Online learned discriminative part-based appearance models for multi-human tracking.  In European Conference on Computer (ECCV), pages 484–498, 2012\.
  * [171] Bo Yang and Ramakant Nevatia.  Multi-target tracking by online learning a CRF model of appearance and motion patterns.  International Journal of Computer Vision, 107(2):203–217, 2014\.
  * [172] Tao Yang, Stan Z. Li, Quan Pan, and Jing Li.  Real-time multiple objects tracking with occlusion handling in dynamic scenes.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 970–975, 2005.
  * [173] Alper Yilmaz, Omar Javed, and Mubarak Shah.  Object tracking: A survey.  ACM Comput. Surv., 38(4), 2006.
  * [174] Jinjie You, Ancong Wu, Xiang Li, and Wei-Shi Zheng.  Top-push video-based person re-identification.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1345–1353, 2016.
  * [175] Charles T Zahn.  Graph-theoretical methods for detecting and describing gestalt clusters.  IEEE Transactions on computers, 100(1):68–86, 1971.
  * [176] Amir Roshan Zamir, Afshin Dehghan, and Mubarak Shah.  Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs.  In European Conference on Computer Vision (ECCV), pages 343–356, 2012.
  * [177] Amir Roshan Zamir and Mubarak Shah.  Accurate image localization based on google maps street view.  In European Conference on Computer Vision (ECCV), pages 255–268. Springer, 2010.
  * [178] Amir Roshan Zamir and Mubarak Shah.  Image geo-localization based on multiple nearest neighbor feature matching using generalized graphs.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 36(8):1546–1558, 2014.
  * [179] Bernhard Zeisl, Torsten Sattler, and Marc Pollefeys.  Camera pose voting for large-scale image-based localization.  In IEEE International Conference on Computer Vision (ICCV), pages 2704–2712, 2015.
  * [180] Eyasu Zemene, Leulseged Tesfaye Alemu, and Marcello Pelillo.  Constrained dominant sets for retrieval.  In International Conference on Pattern Recognition, pages 2568–2573. IEEE, 2016.
  * [181] Eyasu Zemene, Leulseged Tesfaye Alemu, and Marcello Pelillo.  Dominant sets for” constrained” image segmentation.  arXiv preprint arXiv:1707.05309, 2017.
  * [182] Eyasu Zemene and Marcello Pelillo.  Path-based dominant-set clustering.  In IAPR International Conference on Image Analysis and Processing (ICIAP), pages 150–160, 2015.
  * [183] Eyasu Zemene and Marcello Pelillo.  Interactive image segmentation using constrained dominant sets.  In European Conference on Computer Vision (ECCV), pages 278–294, 2016.
  * [184] Eyasu Zemene, Yonatan Tariku Tesfaye, Haroon Idrees, Andrea Prati, Marcello Pelillo, and Mubarak Shah.  Large-scale image geo-localization using dominant sets.  arXiv preprint arXiv:1702.01238, 2017.
  * [185] Eyasu Zemene, Yonatan Tariku Tesfaye, Andrea Prati, and Marcello Pelillo.  Simultaneous clustering and outlier detection using dominant sets.  In Pattern Recognition (ICPR), 2016 23rd International Conference on, pages 2325–2330. IEEE, 2016.
  * [186] Li Zhang, Yuan Li, and Ramakant Nevatia.  Global data association for multi-object tracking using network flows.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
  * [187] Shaoting Zhang, Ming Yang, Timothée Cour, Kai Yu, and Dimitris N. Metaxas.  Query specific rank fusion for image retrieval.  IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 37(4):803–815, 2015.
  * [188] Shu Zhang, Yingying Zhu, and Amit K. Roy-Chowdhury.  Tracking multiple interacting targets in a camera network.  Computer Vision and Image Understanding, 134:64–73, 2015.
  * [189] Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang, and Qi Tian.  MARS: A video benchmark for large-scale person re-identification.  In European Conference on Computer Vision (ECCV), pages 868–884, 2016.
  * [190] Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian.  Scalable person re-identification: A benchmark.  In IEEE International Conference on Computer Vision (ICCV), pages 1116–1124, 2015.
  * [191] Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, and Qi Tian.  Query-adaptive late fusion for image search and person re-identification.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1741–1750, 2015.
  * [192] Yan-Tao Zheng, Ming Zhao, Yang Song, Hartwig Adam, Ulrich Buddemeier, Alessandro Bissacco, Fernando Brucher, Tat-Seng Chua, and Hartmut Neven.  Tour the world: building a web-scale landmark recognition engine.  In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 1085–1092, 2009.
  * [193] Caiming Zhong, Xiaodong Yue, Zehua Zhang, and Jingsheng Lei.  A clustering ensemble: Two-level-refined co-association matrix with path-based transformation.  Pattern Recognition, 48(8):2699–2709, 2015.
  * [194] Ray Zimmerman, Rick Jacobs, and James Farr.  A comparison of the accuracy of four methods for clustering jobs.  Applied Psychological Measurement, 6(3):353–366, 1982.