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ICIP
2000
IEEE
16 years 8 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
FGR
2008
IEEE
170views Biometrics» more  FGR 2008»
16 years 1 months ago
Using an adaptive VAR Model for motion prediction in 3D hand tracking
A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph
IPPS
2006
IEEE
16 years 20 days ago
Analytical performance modelling of partially adaptive routing in wormhole hypercubes
Although several analytical models have been proposed in the literature for different interconnection networks with different routing algorithms, there is only one work dealing wi...
Ahmad Patooghy, Hamid Sarbazi-Azad
AGENTS
1999
Springer
15 years 11 months ago
An Adaptive Agent Bidding Strategy Based on Stochastic Modeling
For a dynamic, evolving multiagent auction, we have developed an adaptive agent bidding strategy (called the p-strategy) based on stochastic modeling. The p-strategy takes into ac...
Sunju Park, Edmund H. Durfee, William P. Birmingha...
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
16 years 6 months ago
Domain adaptation of information extraction models
Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of exis...
Rahul Gupta, Sunita Sarawagi