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» Probabilistic Object Tracking Using Multiple Features
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TVCG
1998
143views more  TVCG 1998»
14 years 9 months ago
Calibration-Free Augmented Reality
We describe the design and implementation of a videobasedaugmentedreality system capableof overlayingthreedimensional graphical objects on live video of dynamic environments. The ...
Kiriakos N. Kutulakos, James R. Vallino
EMNLP
2007
14 years 11 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
ICMI
2003
Springer
93views Biometrics» more  ICMI 2003»
15 years 3 months ago
A multi-modal approach for determining speaker location and focus
This paper presents a multi-modal approach to locate a speaker in a scene and determine to whom he or she is speaking. We present a simple probabilistic framework that combines mu...
Michael Siracusa, Louis-Philippe Morency, Kevin Wi...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 9 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
CVPR
2010
IEEE
15 years 6 months ago
Multi-Class Object Localization by Combining Local Contextual Interactions
Recent work in object localization has shown that the use of contextual cues can greatly improve accuracy over models that use appearance features alone. Although many of these mo...
Carolina Galleguillos, Brian McFee, Gert Lanckriet