Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Lighting is a fundamental and important process in the 3D animation pipeline. Conventional lighting workflow is time-consuming and labor-intensive. A user must fiddle with a rang...
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
The NDIIPP ECHO DEPository project [1] digital repository evaluation will use an augmented version of the draft Audit Checklist for Certification of Trusted Digital Repositories (...
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...