Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
Luminance information plays an important role in dictating the quality of a color image, and some existing color filter array (CFA) demosaicking methods achieve superiority by fir...
We present practical algorithms for the synthesis of crosstalk cancelling equalizing filters. We examine designs optimized for the traditional l2 metric and introduce an approach ...