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JMLR
2006
143views more  JMLR 2006»
15 years 5 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
ICCV
2011
IEEE
14 years 5 months ago
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...
Ognjen Rudovic, Maja Pantic
DAGM
2003
Springer
15 years 11 months ago
3D Reconstruction of Human Skeleton from Single Images or Monocular Video Sequences
In this paper, we first review the approaches to recover 3D shape and related movements of a human and then we present an easy and reliable approach to recover a 3D model using jus...
Fabio Remondino, Andreas Roditakis
PPSN
1998
Springer
15 years 10 months ago
Niching and Elitist Models for MOGAs
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary d...
Shigeru Obayashi, Shinichi Takahashi, Yukihiro Tak...
CVPR
2004
IEEE
16 years 7 months ago
Local Smoothing for Manifold Learning
We propose methods for outlier handling and noise reduction using weighted local linear smoothing for a set of noisy points sampled from a nonlinear manifold. The methods can be u...
Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rang...