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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
16 years 3 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
ICCV
2011
IEEE
14 years 6 months ago
Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
We present a hierarchical model that learns image decompositions via alternating layers of convolutional sparse coding and max pooling. When trained on natural images, the layers ...
Matthew D. Zeiler, Graham W. Taylor, Rob Fergus
DBPL
1995
Springer
91views Database» more  DBPL 1995»
15 years 10 months ago
Extensible Objects for Database Evolution: Language Features and Implementation Issues
One of the limitations of commercially available object-oriented DBMSs is their inability to deal with objects that may change their type during their life and which exhibit a plu...
Antonio Albano, Milena Diotallevi, Giorgio Ghelli
TMM
2010
241views Management» more  TMM 2010»
15 years 1 months ago
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections
As digital cameras with Global Positioning System (GPS) capability become available and people geotag their photos using other means, it is of great interest to annotate semantic e...
Junsong Yuan, Jiebo Luo, Ying Wu
FASE
2004
Springer
15 years 10 months ago
An Operational Semantics for Stateflow
We present a formal operational semantics for Stateflow, the graphical Statecharts-like language of the Matlab/Simulink tool suite that is widely used in model-based development of...
Grégoire Hamon, John M. Rushby