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IJAR
2010
130views more  IJAR 2010»
15 years 5 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
ICCV
2003
IEEE
16 years 8 months ago
Phenomenological Eigenfunctions for Image Irradiance
We present a framework for calculating low-dimensional bases to represent image irradiance from surfaces with isotropic reflectance under arbitrary illumination. By representing t...
Peter Nillius, Jan-Olof Eklundh
HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
16 years 29 days ago
Implementation-Oriented Secure Architectures
We propose a framework for constructing secure systems at the architectural level. This framework is composed of an implementation-oriented formalization of a system’s architect...
Daniel Conte de Leon, Jim Alves-Foss, Paul W. Oman
MLDM
2007
Springer
16 years 23 days ago
Discovering Plausible Explanations of Carcinogenecity in Chemical Compounds
Abstract. The goal of predictive toxicology is the automatic construction of carcinogenecity models. Most common artificial intelligence techniques used to construct these models ...
Eva Armengol
CRV
2005
IEEE
192views Robotics» more  CRV 2005»
16 years 7 days ago
3D Reconstruction of Environments for Planetary Exploration
In this paper we present our approach to 3D surface reconstruction from large sparse range data sets. In space robotics constructing an accurate model of the environment is very i...
Sebastien Gemme, Joseph Nsasi Bakambu, Ioannis M. ...