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JMLR
2010
218views more  JMLR 2010»
14 years 4 months ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao
UAI
2004
14 years 11 months ago
Probabilistic Index Maps for Modeling Natural Signals
One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
CVPR
2004
IEEE
15 years 12 months ago
Capturing Image Structure with Probabilistic Index Maps
One of the major problems in modeling images for vision tasks is that images with very similar structure may locally have completely different appearance, e.g., images taken under...
Nebojsa Jojic, Yaron Caspi
ICML
2005
IEEE
15 years 10 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 8 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun