613 search results - page 26 / 123 » Learning the Structure of Linear Latent Variable Models |
119
Voted
CRV
2008
IEEE
15 years 8 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
128
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JMLR
2012
13 years 4 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
135
Voted
AAAI
2007
15 years 4 months ago
2007
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
118
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CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
92
Voted
ICCV
2005
IEEE
15 years 7 months ago
2005
IEEE
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...