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» Reconstructing an image from its local descriptors
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WSCG
2004
166views more  WSCG 2004»
14 years 11 months ago
De-noising and Recovering Images Based on Kernel PCA Theory
Principal Component Analysis (PCA) is a basis transformation to diagonalize an estimate of the covariance matrix of input data and, the new coordinates in the Eigenvector basis ar...
Pengcheng Xi, Tao Xu
ICVGIP
2008
14 years 11 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
BMCBI
2010
109views more  BMCBI 2010»
14 years 10 months ago
Structural alphabets derived from attractors in conformational space
Background: The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as `states'...
Alessandro Pandini, Arianna Fornili, Jens Kleinjun...
BIBE
2001
IEEE
179views Bioinformatics» more  BIBE 2001»
15 years 1 months ago
Texture-Based 3-D Brain Imaging
Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning dev...
Sagar Saladi, Pujita Pinnamaneni, Joerg Meyer
MOBIHOC
2006
ACM
15 years 9 months ago
Distributed localization using noisy distance and angle information
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...