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MLMI
2007
Springer
16 years 21 days ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
ICNC
2005
Springer
16 years 2 days ago
Modeling Belief, Capability and Promise for Cognitive Agents - A Modal Logic Approach
From the last decade, modeling of cognitive agents have drawn great attention and provide a new paradigm for addressing fundamental questions in cognitive science. In this paper, a...
Xinyu Zhao, Zuoquan Lin
NIPS
2007
15 years 8 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
NA
2010
82views more  NA 2010»
15 years 5 months ago
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems
In the past decade or so, semi-definite programming (SDP) has emerged as a powerful tool capable of handling a remarkably wide range of problems. This article describes an innovat...
Matthew M. Lin, Bo Dong, Moody T. Chu
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
16 years 17 days ago
A low power merge cell processor for real-time spike sorting in implantable neural prostheses
Extremely low power consumption is the critical constraint for designing implantable neural decoders that inter- Desired face directly with the nervous system. Typically a system w...
M. D. Linderman, T. H. Meng