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NIPS
2007
13 years 9 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
ICML
2006
IEEE
14 years 8 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
IJCV
1998
135views more  IJCV 1998»
13 years 7 months ago
A Multibody Factorization Method for Independently Moving Objects
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single mo...
João Paulo Costeira, Takeo Kanade
CVPR
2011
IEEE
13 years 3 months ago
Non-Rigid Structure from Motion with Complementary Rank-3 Spaces
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...
Paulo Gotardo, Aleix Martinez
IUI
2006
ACM
14 years 1 months ago
Activity-oriented context-aware adaptation assisting mobile geo-spatial activities
Human geospatial activities often involves the use of geographic information in mobile environment where the context of technology use is dynamic, complex, and unstable, creating ...
Guoray Cai, Yinkun Xue