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» Approximating Component Selection
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ICDAR
2009
IEEE
16 years 1 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»
16 years 1 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
16 years 1 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»
16 years 1 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»
16 years 1 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