Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
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...
We discuss current progress towards two complementary web resources being developed for the Renal Physiome: (1) a database (QKDB) for quantitative and anatomical data at all level...
S. Randall Thomas, Fariza Tahi, Peter Harris, Andr...
We describe the implementation of a graphical programming tool in the object-oriented language, Smalltalk80, that allows a user to construct a radiographic measurement model. The ...
G. S. Cunningham, K. M. Hanson, G. R. Jennings Jr....