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» Efficient Learning of Relational Object Class Models
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UAI
2004
15 years 1 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
109
Voted
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
14 years 10 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
112
Voted
ESWS
2008
Springer
15 years 2 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
DASFAA
2010
IEEE
166views Database» more  DASFAA 2010»
15 years 7 months ago
The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases
Abstract. Besides topological relations and approximate relations, cardinal directions have turned out to be an important class of qualitative spatial relations. In spatial databas...
Tao Chen, Markus Schneider, Ganesh Viswanathan, We...
ICCV
2009
IEEE
14 years 10 months ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri