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» Approximating Component Selection
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ICDAR
2009
IEEE
15 years 10 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
15 years 10 months ago
Robot Jenga: Autonomous and strategic block extraction
Abstract— This paper describes our successful implementation of a robot that autonomously and strategically removes multiple blocks from an unstable Jenga tower. We present an in...
Jiuguang Wang, Philip Rogers, Lonnie Parker, Dougl...
ESWS
2009
Springer
15 years 10 months ago
Who the Heck Is the Father of Bob?
Abstract. Finding the optimal selection of an OWL reasoner and service interface for a specific ontology-based application is challenging. Over time it has become more and more di...
Marko Luther, Thorsten Liebig, Sebastian Böhm...
WOWMOM
2009
ACM
165views Multimedia» more  WOWMOM 2009»
15 years 10 months ago
Demonstration of channel assignment in a wireless metropolitan MESH network
We demonstrate the channel assignment in a metropolitan wireless multi-radio mesh network with directional antennas. A channel assignment approach is presented using suitable algo...
Nikos Petroulakis, Manolis Delakis, Manolis Genetz...
FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
15 years 10 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee