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COMSIS
2010
13 years 6 months ago
Effective semi-supervised nonlinear dimensionality reduction for wood defects recognition
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
Zhao Zhang, Ning Ye
ICIP
2010
IEEE
13 years 6 months ago
Implicit Motion-Shape Model: A generic approach for action matching
We develop a robust technique to find similar matches of human actions in video. Given a query video, Motion History Images (MHI) are constructed for consecutive keyframes. This i...
Tuan Hue Thi, Li Cheng, Jian Zhang, Li Wang
ICTAI
2010
IEEE
13 years 6 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
AAAI
2010
13 years 5 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
CVPR
2011
IEEE
13 years 5 months ago
Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition
Automatic face photo-sketch recognition has important applications to law enforcement. Recent research has focused on transforming photos and sketches into the same modality for m...
Wei Zhang, Xiaogang Wang, Xiaoou Tang