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CVPR
2004
IEEE
14 years 26 days ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu
ECCV
2006
Springer
14 years 24 days ago
Estimating the Pose of a 3D Sensor in a Non-rigid Environment
Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case of a...
Adrien Bartoli
ICPR
2010
IEEE
14 years 17 days ago
Vehicle Recognition As Changes in Satellite Imagery
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
Ozge Can Ozcanli, Joseph Mundy
CVPR
2010
IEEE
14 years 13 days ago
Large-Scale Image Categorization with Explicit Data Embedding
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
Florent Perronnin, Jorge Sanchez, Yan Liu
CVPR
2010
IEEE
13 years 9 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton