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» Dynamic Modeling in Inductive Inference
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ICMLA
2007
13 years 9 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 16 days ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
ESSMAC
2003
Springer
14 years 1 months ago
Hex: Dynamics and Probabilistic Text Entry
We present a gestural interface for entering text on a mobile device via continuous movements, with control based on feedback from a probabilistic language model. Text is represent...
John Williamson, Roderick Murray-Smith
COLING
2010
13 years 3 months ago
Disambiguating Dynamic Sentiment Ambiguous Adjectives
Dynamic sentiment ambiguous adjectives (DSAAs) like "large, small, high, low"pose a challenging task on sentiment analysis. This paper proposes a knowledge-based method ...
Yunfang Wu, Miaomiao Wen
EH
2002
IEEE
139views Hardware» more  EH 2002»
14 years 28 days ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee