Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
– Generating LOM for learning material is a complex and tedious task to be manually completed. Therefore, the current trend is to automate this process. However, there are severa...
Gaining a comprehensive understanding of turbulent flows still poses one of the great challenges in fluid dynamics. A wellestablished approach to advance this research is the an...
The acquisition of geometric information from realworld objects has become a major way of modeling complex scenes and environments. Unfortunately, most optical methods for geometr...
When designing a lowpass filter to eliminate noise in a triangle mesh, the cutoff frequency is typically chosen by a cumbersome trial-and-error process. Therefore, it is important...