PEDENet: Image anomaly localization via patch embedding and density estimation

Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation

We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator as a drop in replacement to the true likelihood. The prior is a standard small deformation penalty on the displacement field. Since mutual information-based methods are in widespread use for multimodality registration, we attem...

Discriminative Embedding via Image-to-Class Distances

Image-to-Class (I2C) distance firstly proposed in the naive Bayes nearest neighbour (NBNN) classifier has shown its effectiveness in image classification. However, due to the large number of nearest-neighbour search, I2C-based methods are extremely time-consuming, especially with highdimensional local features. In this paper, with the aim to improve and speed up I2C-based methods, we propose a ...

Patch-to-tensor embedding

Article history: Received 2 January 2011 Revised 12 September 2011 Accepted 13 November 2011 Available online xxxx Communicated by Mauro Maggioni

Conditional Density Estimation via Least-Squares Density Ratio Estimation

Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution has multi-modality, is highly asymmetric, or contains heteroscedastic noise. In such scenarios, estimating the conditional distribution itself would be more useful. In this paper, we propose a novel method of condition...

Global Illumination via Density Estimation