Robotics and Autonomous Systems
Earth mover distance over high-dimensional spaces
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Semi-supervised learning of object categories from paired local features
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Image retrieval ++--web image retrieval with an enhanced multi-modality ontology
Multimedia Tools and Applications
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Structure Is a Visual Class Invariant
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Computer Vision and Image Understanding
Foreground Focus: Unsupervised Learning from Partially Matching Images
International Journal of Computer Vision
The pyramid match: efficient learning with partial correspondences
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Semantic Image Search and Subset Selection for Classifier Training in Object Recognition
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Unsupervised Object Discovery: A Comparison
International Journal of Computer Vision
Gaussian Processes for Object Categorization
International Journal of Computer Vision
Tutor-based learning of visual categories using different levels of supervision
Computer Vision and Image Understanding
Unsupervised object category discovery via information bottleneck method
Proceedings of the international conference on Multimedia
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
A non-parametric visual-sense model of images--extending the cluster hypothesis beyond text
Multimedia Tools and Applications
Texture bags: anomaly retrieval in medical images based on local 3d-texture similarity
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Weakly Supervised Localization and Learning with Generic Knowledge
International Journal of Computer Vision
Ensemble partitioning for unsupervised image categorization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
"Clustering by composition": unsupervised discovery of image categories
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Naming persons in video: Using the weak supervision of textual stories
Journal of Visual Communication and Image Representation
Robust subspace discovery via relaxed rank minimization
Neural Computation
Object-based visual query suggestion
Multimedia Tools and Applications
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We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into a space where they cluster according to their partial-match feature correspondences. After efficiently computing the pairwise affinities between the input images in this space, a spectral clustering technique is used to recover the primary groupings among the images. We introduce an efficient means of refining these groupings according to intra-cluster statistics over the subsets of features selected by the partial matches between the images, and based on an optional, variable amount of user supervision. We compute the consistent subsets of feature correspondences within a grouping to infer category feature masks. The output of the algorithm is a partition of the data into a set of learned categories, and a set of classifiers trained from these ranked partitions that can recognize the categories in novel images.