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» Denoising using local projective subspace methods
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IVC
2006
133views more  IVC 2006»
13 years 7 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung
AI
2011
Springer
12 years 11 months ago
Subspace Mapping of Noisy Text Documents
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
Axel J. Soto, Marc Strickert, Gustavo E. Vazquez, ...
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 27 days ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
ICASSP
2007
IEEE
14 years 1 months ago
MEG Signal Denoising Based on Time-Shift PCA
We present a method for removing environmental noise from physiological recordings such as Magnetoencephalography (MEG) for which noise-sensitive reference channels are available....
Alain de Cheveigné, Jonathan Le Roux, Jonat...
CVPR
2012
IEEE
11 years 10 months ago
Light field denoising, light field superresolution and stereo camera based refocussing using a GMM light field patch prior
With the recent availability of commercial light field cameras, we can foresee a future in which light field signals will be as common place as images. Hence, there is an immine...
Kaushik Mitra, Ashok Veeraraghavan