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» Segmented Iterators and Hierarchical Algorithms
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IJCV
2008
151views more  IJCV 2008»
13 years 7 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
PRL
2002
91views more  PRL 2002»
13 years 7 months ago
StrCombo: combination of string recognizers
In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers...
Xiangyun Ye, Mohamed Cheriet, Ching Y. Suen
TON
1998
71views more  TON 1998»
13 years 7 months ago
Real-time block transfer under a link-sharing hierarchy
— Most application data units are too large to be carried in a single packet (or cell) and must be segmented for network delivery. To an application, the end-to-end delays and lo...
Geoffrey G. Xie, Simon S. Lam
PAMI
2007
187views more  PAMI 2007»
13 years 6 months ago
Supervised Learning of Semantic Classes for Image Annotation and Retrieval
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno,...
ECCV
2004
Springer
14 years 9 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard