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» Dynamic Modeling in Inductive Inference
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ICCV
1999
IEEE
14 years 9 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
UAI
2008
13 years 9 months ago
Efficient Inference in Persistent Dynamic Bayesian Networks
Numerous temporal inference tasks such as fault monitoring and anomaly detection exhibit a persistence property: for example, if something breaks, it stays broken until an interve...
Tomás Singliar, Denver Dash
DOOD
1995
Springer
171views Database» more  DOOD 1995»
13 years 11 months ago
An Overview of Database Mining Techniques
This paper presents an overview of data mining techniques in the context of of the deductiveinductive cycle model. The claim made in this paper is that a combination of both of th...
Bob Kero, Lucian Russell, Shalom Tsur, Wei-Min She...
AAAI
2010
13 years 9 months ago
Integrated Systems for Inducing Spatio-Temporal Process Models
Quantitative modeling plays a key role in the natural sciences, and systems that address the task of inductive process modeling can assist researchers in explaining their data. In...
Chunki Park, Will Bridewell, Pat Langley
ENTCS
2007
91views more  ENTCS 2007»
13 years 7 months ago
A Logic for Reasoning about Generic Judgments
This paper presents an extension of a proof system for encoding generic judgments, the logic FOλ∆ of Miller and Tiu, with an induction principle. The logic FOλ∆ is itself an...
Alwen Tiu