Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs
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Ping Li | Pong C. Yuen | Jiawei Li | Andy Jinhua Ma | Ping Li | P. Yuen | A. J. Ma | Jiawei Li
[1] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .
[2] B. Harshbarger. An Introduction to Probability Theory and its Applications, Volume I , 1958 .
[3] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.
[4] Mubarak Shah,et al. Tracking across multiple cameras with disjoint views , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[5] Massimiliano Pontil,et al. Regularized multi--task learning , 2004, KDD.
[6] Rajat Raina,et al. Constructing informative priors using transfer learning , 2006, ICML.
[7] Richard I. Hartley,et al. Person Reidentification Using Spatiotemporal Appearance , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[8] Daniel Marcu,et al. Domain Adaptation for Statistical Classifiers , 2006, J. Artif. Intell. Res..
[9] John Blitzer,et al. Domain Adaptation with Structural Correspondence Learning , 2006, EMNLP.
[10] Rong Yan,et al. Cross-domain video concept detection using adaptive svms , 2007, ACM Multimedia.
[11] Hai Tao,et al. Evaluating Appearance Models for Recognition, Reacquisition, and Tracking , 2007 .
[12] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[13] Qiang Wu,et al. McRank: Learning to Rank Using Multiple Classification and Gradient Boosting , 2007, NIPS.
[14] Massimo Piccardi,et al. Tracking people across disjoint camera views by an illumination-tolerant appearance representation , 2007, Machine Vision and Applications.
[15] Hai Tao,et al. Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features , 2008, ECCV.
[16] Shaogang Gong,et al. Associating Groups of People , 2009, BMVC.
[17] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[18] Nojun Kwak,et al. Feature extraction for one-class classification problems: Enhancements to biased discriminant analysis , 2009, Pattern Recognit..
[19] Hui Li,et al. Semisupervised Multitask Learning , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] S. Sathiya Keerthi,et al. Efficient algorithms for ranking with SVMs , 2010, Information Retrieval.
[21] Slawomir Bak,et al. Person Re-identification Using Haar-based and DCD-based Signature , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[22] Lorenzo Bruzzone,et al. Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[24] Ivor W. Tsang,et al. Visual Event Recognition in Videos by Learning from Web Data , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Ramakant Nevatia,et al. Inter-camera Association of Multi-target Tracks by On-Line Learned Appearance Affinity Models , 2010, ECCV.
[26] Shaogang Gong,et al. Person Re-Identification by Support Vector Ranking , 2010, BMVC.
[27] Alessandro Perina,et al. Person re-identification by symmetry-driven accumulation of local features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Vittorio Murino,et al. Custom Pictorial Structures for Re-identification , 2011, BMVC.
[29] Horst Bischof,et al. Person Re-identification by Descriptive and Discriminative Classification , 2011, SCIA.
[30] Ivor W. Tsang,et al. Domain Adaptation via Transfer Component Analysis , 2009, IEEE Transactions on Neural Networks.
[31] Bo Geng,et al. DAML: Domain Adaptation Metric Learning , 2011, IEEE Transactions on Image Processing.
[32] Rainer Stiefelhagen,et al. Evaluation of local features for person re-identification in image sequences , 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[33] Peter H. Tu,et al. Appearance-based person reidentification in camera networks: problem overview and current approaches , 2011, J. Ambient Intell. Humaniz. Comput..
[34] Rama Chellappa,et al. Domain adaptation for object recognition: An unsupervised approach , 2011, 2011 International Conference on Computer Vision.
[35] Michael Arens,et al. View-invariant person re-identification with an Implicit Shape Model , 2011, 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[36] Horst Bischof,et al. Relaxed Pairwise Learned Metric for Person Re-identification , 2012, ECCV.
[37] Bingpeng Ma,et al. BiCov: a novel image representation for person re-identification and face verification , 2012, BMVC.
[38] Slawomir Bak,et al. Boosted human re-identification using Riemannian manifolds , 2012, Image Vis. Comput..
[39] Ivor W. Tsang,et al. Domain Transfer Multiple Kernel Learning , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Shaogang Gong,et al. Transfer re-identification: From person to set-based verification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Chunxiao Liu,et al. Person Re-identification: What Features Are Important? , 2012, ECCV Workshops.
[42] Slawomir Bak,et al. Learning to Match Appearances by Correlations in a Covariance Metric Space , 2012, ECCV.
[43] Alessandro Perina,et al. Multiple-shot person re-identification by chromatic and epitomic analyses , 2012, Pattern Recognit. Lett..
[44] Takafumi Kanamori,et al. Density Ratio Estimation in Machine Learning , 2012 .
[45] Bingpeng Ma,et al. Local Descriptors Encoded by Fisher Vectors for Person Re-identification , 2012, ECCV Workshops.
[46] Yuandong Tian,et al. Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation , 2012, ECCV.
[47] Michael Lindenbaum,et al. Learning Implicit Transfer for Person Re-identification , 2012, ECCV Workshops.
[48] Motoaki Kawanabe,et al. Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation , 2012, Adaptive computation and machine learning.
[49] Shaogang Gong,et al. Reidentification by Relative Distance Comparison , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Pong C. Yuen,et al. Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information , 2013, 2013 IEEE International Conference on Computer Vision.
[51] Chunxiao Liu,et al. POP: Person Re-identification Post-rank Optimisation , 2013, 2013 IEEE International Conference on Computer Vision.
[52] Liang Lin,et al. Human Re-identification by Matching Compositional Template with Cluster Sampling , 2013, 2013 IEEE International Conference on Computer Vision.
[53] Trevor Darrell,et al. Semi-supervised Domain Adaptation with Instance Constraints , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[54] Xiaogang Wang,et al. Person Re-identification by Salience Matching , 2013, 2013 IEEE International Conference on Computer Vision.
[55] Ehud Rivlin,et al. Color Invariants for Person Reidentification , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[56] Z. Jane Wang,et al. Cross-Domain Object Recognition Via Input-Output Kernel Analysis , 2013, IEEE Transactions on Image Processing.
[57] Kristen Grauman,et al. Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation , 2013, ICML.
[58] Xiaogang Wang,et al. Unsupervised Salience Learning for Person Re-identification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Xiaogang Wang,et al. Locally Aligned Feature Transforms across Views , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[60] Dacheng Tao,et al. Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning , 2014, IEEE Transactions on Image Processing.
[61] Yu-Chiang Frank Wang,et al. Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace , 2014, IEEE Transactions on Image Processing.