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ICIP
2010
IEEE
14 years 7 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
DPHOTO
2009
154views Hardware» more  DPHOTO 2009»
14 years 7 months ago
Optimal color filter array design: quantitative conditions and an efficient search procedure
Most digital cameras employ a spatial subsampling process, implemented as a color filter array (CFA), to capture color images. The choice of CFA patterns has a great impact on the...
Yue M. Lu, Martin Vetterli
PAMI
2002
124views more  PAMI 2002»
14 years 9 months ago
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Joachim Denzler, Christopher M. Brown
92
Voted
NORDICHI
2004
ACM
15 years 3 months ago
Procuring a usable system using unemployed personas
This case study examines a procurement project where the Swedish National Labor Market Administration (AMV) hired usability consultants in order to redesign their website for empl...
Erik Markensten, Henrik Artman
90
Voted
NIPS
2008
14 years 11 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...