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IJCV
2008
172views more  IJCV 2008»
15 years 6 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
TOMACS
2002
110views more  TOMACS 2002»
15 years 6 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
ACMICEC
2007
ACM
133views ECommerce» more  ACMICEC 2007»
15 years 10 months ago
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Electronic commerce is revolutionizing the way we think about data modeling, by making it possible to integrate the processes of (costly) data acquisition and model induction. The...
Foster J. Provost, Prem Melville, Maytal Saar-Tsec...
TASLP
2002
109views more  TASLP 2002»
15 years 6 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
AIEDU
2004
77views more  AIEDU 2004»
15 years 6 months ago
Interacting with Inspectable Bayesian Student Models
Inspectable student models focus on the idea of letting students and teachers interact with the representation of the student that the system maintains. Both humans and the system ...
Juan-Diego Zapata-Rivera, Jim E. Greer