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BMVC
2010
15 years 4 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
SMC
2007
IEEE
127views Control Systems» more  SMC 2007»
16 years 24 days ago
Underwater environment reconstruction using stereo and inertial data
Abstract— The underwater environment presents many challenges for robotic sensing including highly variable lighting, the presence of dynamic objects, and the six degree of freed...
Andrew Hogue, Andrew German, Michael Jenkin
ICDM
2008
IEEE
109views Data Mining» more  ICDM 2008»
16 years 29 days ago
Learning by Propagability
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loon...
AAAI
2010
15 years 8 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
DIWEB
2001
15 years 8 months ago
Converting XML Data To UML Diagrams For Conceptual Data Integration
The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In many situations a logical (rather than physical) i...
Mikael R. Jensen, Thomas H. Møller, Torben ...