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ML
1998
ACM
153views Machine Learning» more  ML 1998»
14 years 9 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
ISI
2006
Springer
14 years 10 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
IJDMB
2006
125views more  IJDMB 2006»
14 years 10 months ago
Bi-level clustering of mixed categorical and numerical biomedical data
: Biomedical data sets often have mixed categorical and numerical types, where the former represent semantic information on the objects and the latter represent experimental result...
Bill Andreopoulos, Aijun An, Xiaogang Wang
VRML
2006
ACM
15 years 3 months ago
Using expressive rendering for remote visualization of large city models
In this paper, we present a new approach for remote visualization of large 3D cities. Our approach is based on expressive rendering (also known as Non-Photorealistic Rendering), a...
Jean-Charles Quillet, Gwenola Thomas, Xavier Grani...
INFSOF
2007
139views more  INFSOF 2007»
14 years 9 months ago
Predicting software defects in varying development lifecycles using Bayesian nets
An important decision problem in many software projects is when to stop testing and release software for use. For many software products, time to market is critical and therefore ...
Norman E. Fenton, Martin Neil, William Marsh, Pete...