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» Input Modeling Using Quantile Statistical Methods
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IROS
2009
IEEE
205views Robotics» more  IROS 2009»
14 years 3 months ago
Probabilistic categorization of kitchen objects in table settings with a composite sensor
— In this paper, we investigate the problem of 3D object categorization of objects typically present in kitchen environments, from data acquired using a composite sensor. Our fra...
Zoltan Csaba Marton, Radu Bogdan Rusu, Dominik Jai...
ICC
2008
IEEE
146views Communications» more  ICC 2008»
14 years 3 months ago
APOS: Adaptive Parameters Optimization Scheme for Voice over IEEE 802.11g
—In this paper we present APOS, a method for dynamically adapting the parameters of IEEE 802.11g to the estimated system state, with the aim of enhancing the quality of a voice c...
Nicola Baldo, Federico Maguolo, Simone Merlin, And...
FOCI
2007
IEEE
14 years 3 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
TCC
2007
Springer
102views Cryptology» more  TCC 2007»
14 years 3 months ago
Perfect NIZK with Adaptive Soundness
Abstract. This paper presents a very simple and efficient adaptivelysound perfect NIZK argument system for any NP-language. In contrast to recently proposed schemes by Groth, Ostro...
Masayuki Abe, Serge Fehr
CVBIA
2005
Springer
14 years 2 months ago
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases, segmentation is largely perfor...
Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W...