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AVSS
2007
IEEE
15 years 8 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
IBERAMIA
2004
Springer
15 years 7 months ago
Statistical Inference in Mapping and Localization for Mobile Robots
In this paper we tackle the problem of providing a mobile robot with the ability to build a map of its environment using data gathered during navigation. The data correspond to the...
Anita Araneda, Alvaro Soto
ICASSP
2011
IEEE
14 years 6 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
EDBT
2010
ACM
145views Database» more  EDBT 2010»
15 years 5 months ago
Splash: ad-hoc querying of data and statistical models
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
Lujun Fang, Kristen LeFevre
APCCM
2008
15 years 3 months ago
A Practical Guide to Testing the Understandability of Notations
Model-driven development is the process of creating models of a software system and transforming them into source code. Since the stepwise transformations can be done automaticall...
Susanne Patig