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ICCV
2003
IEEE
16 years 3 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
15 years 8 months ago
Mutual localization in a multi-robot system with anonymous relative position measures
— We address the mutual localization problem for a multi-robot system, under the assumption that each robot is equipped with a sensor that provides a measure of the relative posi...
Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
SEMWEB
2007
Springer
15 years 7 months ago
Learning Subsumption Relations with CSR: a Classification based Method for the Alignment of Ontologies
In this paper we propose the "Classification-Based Learning of Subsumption Relations for the Alignment of Ontologies" (CSR) method. Given a pair of concepts from two onto...
Vassilis Spiliopoulos, Alexandros G. Valarakos, Ge...
INFORMATICALT
2002
110views more  INFORMATICALT 2002»
15 years 1 months ago
Extraction of Object-oriented Schemas from Existing Relational Databases: a Form-driven Approach
In this paper, we present our Form-driven approach for reverse engineering of relationa databases. This methodology uses the information extracted from both form structure and inst...
Mimoun Malki, André Flory, Mustapha Kamal R...
DCC
2011
IEEE
14 years 8 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal