Extracting structures in image collections for object recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6311 LNCS, Issue PART 1, 2010, Pages 720-733

  Ebert, Sandra ^a,b   Larlus, Diane ^a   Schiele, Bernt ^a,b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

object recognition; semi supervised learning

Indexed keywords

COMPUTER VISION; IMAGE ENHANCEMENT; MACHINE LEARNING; SUPERVISED LEARNING;

FEATURE COMBINATION; IMAGE COLLECTIONS; LOCAL NEIGHBORHOOD STRUCTURES; LOCAL TOPOLOGY; OBJECT REPRESENTATIONS; SEMI- SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING (SSL); STATE OF THE ART;

OBJECT RECOGNITION;

EID: 78149324889     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15549-9_52     Document Type: Conference Paper

References (31)

1. Chum, O., Perdoch, M., Matas, J.: Geometric min-hashing: Finding a (thick) needle in a haystack. In: CVPR (2009)
2. Sivic, J., Russell, B., Zisserman, A., Freeman, W., Efros, A.: Unsupervised discovery of visual object class hierarchies. In: CVPR (2008)
3. Vijayanarasimhan, S., Grauman, K.: Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization. In: CVPR (2008)
4. Li, L.-J., Fei-Fei, L.: Optimol: Automatic online picture collection via incremental model learning. IJCV (2009)
5. Vijayanarasimhan, S., Grauman, K.: Multi-level active prediction of useful image annotations for recognition. In: NIPS (2008)
6. Russell, B., Torralba, A., Murphy, K., Freeman, W.: LabelMe: A database and web-based tool for image annotation. IJCV (2008)
7. Verbeek, J., Triggs, B.: Scene segmentation with CRFs learned from partially labeled images. In: NIPS, vol. 20 (2008)
8. Fergus, R., Perona, P., Zisserman, A.: Weakly supervised scale-invariant learning of models for visual recognition. IJCV (2007)
9. Leistner, C., Saffari, A., Santner, J., Bischof, H.: Semi-supervised random forests. In: ICCV (2009)
10. Saffari, A., Leistner, C., Bischof, H.: Regularized multi-class semi-supervised boosting. In: CVPR (2009)
11. Fergus, R., Weiss, Y., Torralba, A.: Semi-supervised learning in gigantic image collections. In: NIPS (2009)
12. Chapelle, O., Schölkopf, B., Zien, A. (eds.): Semi-Supervised Learning. MIT Press, Cambridge (2006)
13. Zhou, D., Bousquet, O., Lal, T.N., Weston, J., Schölkopf, B.: Learning with local and global consistency. In: NIPS (2004)
14. Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using gaussian fields and harmonic functions. In: ICML (2003)
15. Liu, W., Chang, S.: Robust multi-class transductive learning with graphs. In: CVPR (2009)
16. Leibe, B., Schiele, B.: Analyzing appearance and contour based methods for object categorization. In: CVPR (2003)
17. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL VOC Challenge 2008 Results (2008)
18. Lampert, C., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between-class attribute transfer. In: CVPR (2009)
19. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
20. Oliva, A., Torralba, A.: Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV (2001)
21. Lazebnik, S., Schmid, C., Ponce, J.: Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In: CVPR (2006)
22. Wolf, L., Hassner, T., Taigman, Y.: Descriptor based methods in the wild. In: ECCV (2008)
23. Mikolajczyk, K., Schmid, C.: Scale & affine invariant interest point detectors. IJCV (2004)
24. Lowe, D.: Distinctive image features from scale-invariant keypoints. IJCV (2004)
25. van de Sande, K., Gevers, T., Snoek, C.: Evaluating color descriptors for object and scene recognition. PAMI (2010)
26. Hein, M., Maier, M.: Manifold denoising. In: NIPS (2006)
27. Bengio, Y., Delalleau, O., Le Roux, N.: Label propagation and quadratic criterion. In: [12]
28. Zhou, D., Huang, J., Schöhkopf, B.: Learning from labeled and unlabeled data on a directed graph. In: ICML (2005)
29. Perronnin, F., Liu, Y., Renders, J.: A family of contextual measures of similarity between distributions with application to image retrieval. In: CVPR (2009)
30. Gehler, P., Nowozin, S.: On feature combination for multiclass object classification. In: CVPR (2009)
31. Zhu, X.: Semi-supervised learning literature survey. Technical report, UW (2005)