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NIPS
2003
13 years 9 months ago
Image Reconstruction by Linear Programming
— One way of image denoising is to project a noisy image to the subspace of admissible images derived, for instance by PCA. However, a major drawback of this method is that all p...
Koji Tsuda, Gunnar Rätsch
VISUALIZATION
2005
IEEE
14 years 1 months ago
Fast and Reproducible Fiber Bundle Selection in DTI Visualization
Diffusion Tensor Imaging (DTI) is an MRI-based technique for quantifying water diffusion in living tissue. In the white matter of the brain, water diffuses more rapidly along the ...
Jorik Blaas, Charl P. Botha, Bart Peters, Frans Vo...
ICDAR
2009
IEEE
14 years 2 months ago
Document Image Retrieval with Local Feature Sequences
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout ...
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
TIP
2010
160views more  TIP 2010»
13 years 2 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
ICCV
2011
IEEE
12 years 7 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