Fast ANN for High-Quality Collaborative Filtering

The study can shortly be characterised as an evaluation of a collaborative distributed learning activity, with the organisation of the work by instructors and facilitators in

In this paper, we present a collaborative volume rendering application which can be used in distributed virtual environments.. The application allows the users to collaboratively

We introduce several algorithms for leveraging the parallel processing power of consumer graphics hardware, ranging from the early NVIDIA GeForce 256 graphics cards to the

We show that our approach creates output of similar quality as the original anisotropic Kuwahara filter and present an evaluation scheme to compute the new weighting

After generating our working set data structures, we can now apply the actual filtering operation. Each processing pass takes as input the block data pool and the virtual block ta-

Preferences for color aesthetics are learned using a collaborative filtering approach on a large dataset of rated color themes/palettes.. To make predictions, matrix factorization

To support simultaneous filtering of a shared view of a data set, each data point representation must contain information regarding the filter status of each collaborator. A data

Car paints captured with state-of-the-art industry-grade setups such as X- Rite’s TAC7 and stored in the AxF format are the input to our fitting pipeline that, given the constraints