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CVPR
2000
IEEE
14 years 9 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
SIAMCO
2000
137views more  SIAMCO 2000»
13 years 7 months ago
On a Class of Diffeomorphic Matching Problems in One Dimension
We study a class of functional which can be used for matching objects which can be represented as mappings from a fixed interval, I, to some "feature space." This class o...
Alain Trouvé, Laurent Younes
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
14 years 11 days ago
Recognition of Common Areas in a Web Page Using Visual Information: a possible application in a page classification
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Comm...
Milos Kovacevic, Michelangelo Diligenti, Marco Gor...
ECCV
2010
Springer
13 years 11 months ago
Efficient object category recognition using classemes
We introduce a new descriptor for images which allows the construction of efficient and compact classifiers with good accuracy on object category recognition. The descriptor is the...
PAMI
2012
11 years 10 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona