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» Markov dynamic models for long-timescale protein motion
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ICPR
2008
IEEE
14 years 9 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
PAMI
2010
249views more  PAMI 2010»
13 years 6 months ago
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
—In this work we propose a dynamic-texture-based approach to the recognition of facial Action Units (AUs, atomic facial gestures) and their temporal models (i.e., sequences of te...
Sander Koelstra, Maja Pantic, Ioannis Patras
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
NIPS
2003
13 years 9 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
CIARP
2003
Springer
14 years 28 days ago
Online Handwritten Signature Verification Using Hidden Markov Models
Most people are used to signing documents and because of this, it is a trusted and natural method for user identity verification, reducing the cost of password maintenance and decr...
Juan J. Igarza, Iñaki Goirizelaia, Koldo Es...