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ICPR
2008
IEEE
14 years 4 months ago
A novel robust kernel for appearance-based learning
Robustness is one of the most critical issues in the appearance-based learning strategies. In this work, we propose a novel kernel that is robust against data corruption for vario...
Chia-Te Liao, Shang-Hong Lai
ICPR
2008
IEEE
14 years 4 months ago
Transductive optimal component analysis
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio
IJCNN
2007
IEEE
14 years 4 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
ACCV
2007
Springer
14 years 3 months ago
Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions
We propose a method for interpolation between eigenspaces. Techniques that represent observed patterns as multivariate normal distribution have actively been developed to make it r...
Tomokazu Takahashi, Lina, Ichiro Ide, Yoshito Meka...
IBPRIA
2007
Springer
14 years 3 months ago
Spectral Modes of Facial Needle-Maps
Abstract. This paper presents a method to decompose a field of surface normals (needle-map). A diffusion process is used to model the flow of height information induced by a fi...
Roberto Fraile, Edwin R. Hancock