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TASLP
2002
84views more  TASLP 2002»
14 years 9 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
88
Voted
ICIP
2005
IEEE
15 years 11 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
74
Voted
ICPR
2008
IEEE
15 years 4 months ago
Harmonic mean for subspace selection
Under the homoscedastic Gaussian assumption, it has been shown that Fisher’s linear discriminant analysis (FLDA) suffers from the class separation problem when the dimensionalit...
Wei Bian, Dacheng Tao
62
Voted
IROS
2007
IEEE
206views Robotics» more  IROS 2007»
15 years 4 months ago
Dexterous manipulation planning using probabilistic roadmaps in continuous grasp subspaces
— In this paper, we propose a new method for the motion planning problem of rigid object dexterous manipulation with a robotic multi-fingered hand, under quasi-static movement a...
Jean-Philippe Saut, Anis Sahbani, Sahar El-Khoury,...
PR
2011
14 years 14 days ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...