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» On Fitting Mixture Models
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ICANN
2009
Springer
15 years 11 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
ICDE
2002
IEEE
146views Database» more  ICDE 2002»
16 years 8 months ago
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
Network, web, and disk I/O traffic are usually bursty, self-similar [9, 3, 5, 6] and therefore can not be modeled adequately with Poisson arrivals[9]. However, we do want to model...
Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou...
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 7 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
HICSS
2003
IEEE
146views Biometrics» more  HICSS 2003»
15 years 12 months ago
A Model for the Emergence and Diffusion of Software Standards
The economic impact of the growth dynamic of standards is often described from a macroeconomic point of view, employing network effect theory and models dealing with externalities...
Tim Stockheim, Michael Schwind, Wolfgang Köni...
BMCBI
2010
124views more  BMCBI 2010»
15 years 6 months ago
Estimating time since infection in early homogeneous HIV-1 samples using a poisson model
Background: The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homo...
Elena E. Giorgi, Bob Funkhouser, Gayathri Athreya,...