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DASFAA
2004
IEEE
92views Database» more  DASFAA 2004»
15 years 10 months ago
Modeling Temporally Variable Transportation Networks
In this paper, a State-Based Dynamic Transportation Network (SBDTN) model is presented, which can be used to describe the spatiotemporal aspect of temporally variable transportatio...
Zhiming Ding, Ralf Hartmut Güting
UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
EDBT
2008
ACM
178views Database» more  EDBT 2008»
16 years 7 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
ISBI
2007
IEEE
16 years 1 months ago
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...
ICASSP
2011
IEEE
14 years 10 months ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin