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» Optimal HDR Reconstruction with Linear Digital Cameras
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NIPS
2008
13 years 9 months ago
Supervised Dictionary Learning
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CVPR
2010
IEEE
14 years 4 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
IJCV
2007
136views more  IJCV 2007»
13 years 7 months ago
Image Registration of Sectioned Brains
The physical (microtomy), optical (microscopy), and radiologic (tomography) sectioning of biological objects and their digitization lead to stacks of images. Due to the sectioning ...
Oliver Schmitt, Jan Modersitzki, Stefan Heldmann, ...
ICIP
2004
IEEE
14 years 9 months ago
A generic method for generating multispectral filter arrays
The technology of color filter arrays (CFA) has been widely used in the digital camera industry since it provides several advantages like low cost, exact registration, and strong ...
Lidan Miao, Hairong Qi, Wesley E. Snyder
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 8 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...