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» Learning and using taxonomies for fast visual categorization
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NIPS
2003
14 years 11 months ago
Sensory Modality Segregation
Why are sensory modalities segregated the way they are? In this paper we show that sensory modalities are well designed for self-supervised cross-modal learning. Using the Minimiz...
Virginia R. de Sa
CVPR
2008
IEEE
15 years 11 months ago
Similarity-based cross-layered hierarchical representation for object categorization
This paper proposes a new concept in hierarchical representations that exploits features of different granularity and specificity coming from all layers of the hierarchy. The conc...
Sanja Fidler, Marko Boben, Ales Leonardis
IJCV
2008
223views more  IJCV 2008»
14 years 9 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
CVPR
2007
IEEE
15 years 11 months ago
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
EPIA
2009
Springer
15 years 4 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes