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JMLR
2006
143views more  JMLR 2006»
14 years 11 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
13 years 12 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 5 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 4 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 1 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...