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» Denoising using local projective subspace methods
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CVPR
2007
IEEE
14 years 3 months ago
Conformal Embedding Analysis with Local Graph Modeling on the Unit Hypersphere
We present the Conformal Embedding Analysis (CEA) for feature extraction and dimensionality reduction. Incorporating both conformal mapping and discriminating analysis, CEA projec...
Yun Fu, Ming Liu, Thomas S. Huang
ICCV
2011
IEEE
12 years 8 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
CIKM
2010
Springer
13 years 7 months ago
Visualization and clustering of crowd video content in MPCA subspace
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
Haiping Lu, How-Lung Eng, Myo Thida, Konstantinos ...
ICPR
2002
IEEE
14 years 9 months ago
Natural Image Correction by Iterative Projections to Eigenspace Constructed in Normalized Image Space
Image correction is discussed for realizing both effective object recognition and realistiic image-based rendering. Three image normalizations are compared in relation with the li...
Takeshi Shakunaga, Fumihiko Sakaue
ICCV
2007
IEEE
14 years 10 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla