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112
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ICCV
2005
IEEE
15 years 9 months ago
Priors for People Tracking from Small Training Sets
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...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
129
Voted
FGR
2008
IEEE
188views Biometrics» more  FGR 2008»
15 years 9 months ago
Person-independent face tracking based on dynamic AAM selection
Abstract This paper proposes a real-time high-precision method to track an unknown face in front of an information system by selecting appropriate model to a video image. Active Ap...
Akihiro Kobayashi, Junji Satake, Takatsugu Hirayam...
76
Voted
ICRA
2007
IEEE
110views Robotics» more  ICRA 2007»
15 years 9 months ago
A Reinforcement Learning Approach to Lift Generation in Flapping MAVs: Experimental Results
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
Mehran Motamed, Joseph Yan
ICDAR
2003
IEEE
15 years 8 months ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
Sungho Ryu, Jin Hyung Kim
NIPS
2004
15 years 4 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...