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SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
15 years 10 months ago
MayBMS: a probabilistic database management system
MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
UM
2005
Springer
15 years 3 months ago
Data-Driven Refinement of a Probabilistic Model of User Affect
We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Cristina Conati, Heather Maclaren
ISCAS
2003
IEEE
123views Hardware» more  ISCAS 2003»
15 years 3 months ago
Classification of power system faults using wavelet transforms and probabilistic neural networks
Automation of power system fault identification using information conveyed by the wavelet analysis of power system transients is proposed. Probabilistic Neural Network (PNN) for d...
Harish K. Kashyap, U. Jayachandra Shenoy
ICIAP
2003
ACM
15 years 10 months ago
Camera calibration and 3D reconstruction using interval analysis
This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of a...
Benoît Telle, Marie-José Aldon, Nacim...
ICDAR
2009
IEEE
15 years 4 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