Combining labeled and unlabeled data with co-training, Proceedings of the eleventh annual conference on Computational learning theory , COLT' 98, pp.92-100, 1998. ,
DOI : 10.1145/279943.279962
URL : http://axon.cs.byu.edu/~martinez/classes/678/Papers/Mitchell_cotraining.pdf
Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society. Series B (Methodological ), vol.39, pp.1-38, 1977. ,
Fast Crowd Segmentation Using Shape Indexing, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007. ,
DOI : 10.1109/ICCV.2007.4409075
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.586
Additive logistic regression: A statistical view of boosting, Annals of Statistics, 2000. ,
A discriminative feature space for detecting and recognizing faces, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.797-804, 2004. ,
DOI : 10.1109/CVPR.2004.1315246
W/sup 4/: real-time surveillance of people and their activities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.809-830, 2000. ,
DOI : 10.1109/34.868683
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.696-701, 2005. ,
DOI : 10.1109/CVPR.2005.259
Transductive inference for text classification using support vector machines, Proceedings of ICML-99, pp.200-209, 1999. ,
Unsupervised improvement of visual detectors using co-training, IEEE Conference on ICCV, pp.626-633, 2003. ,
Learning Multi-scale Block Local Binary Patterns for Face Recognition, ICB, pp.828-837, 2007. ,
DOI : 10.1007/978-3-540-74549-5_87
An unsupervised, online learning framework for moving object detection, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.317-324, 2004. ,
DOI : 10.1109/CVPR.2004.1315181
A comparative study of texture measures with classification based on feature distributions, Pattern Recognition, pp.51-59, 1996. ,
Limitations of co-training for natural language learning from large datasets, Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, pp.1-9, 2001. ,
Simultaneous Estimation of Segmentation and Shape, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.486-493, 2005. ,
DOI : 10.1109/CVPR.2005.323
Learning patterns of activity using real-time tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.747-757, 2000. ,
DOI : 10.1109/34.868677
Sharing features: efficient boosting procedures for multiclass object detection, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.762-769, 2004. ,
DOI : 10.1109/CVPR.2004.1315241
Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.511-518, 2001. ,
DOI : 10.1109/CVPR.2001.990517
Real-time multiple objects tracking with occlusion handling in dynamic scenes, IEEE Conference on CVPR, vol.11, pp.970-975, 2005. ,
Real-time Object Classification in Video Surveillance Based on Appearance Learning, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383503
Bayesian human segmentation in crowded situations, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., p.459, 2003. ,
DOI : 10.1109/CVPR.2003.1211503
Segmentation and tracking of multiple humans in complex situations, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, p.194, 2001. ,
DOI : 10.1109/CVPR.2001.990958
Tri-training: exploiting unlabeled data using three classifiers. Knowledge and Data Engineering, IEEE Transactions on, vol.17, pp.1529-1541, 2005. ,