—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
Christopher Sentelle, Michael Georgiopoulos, Georg...
Due to the extensive requirement of memory and speed for direct numerical simulation (DNS) of channel turbulence, people can only perform DNS at moderate Reynolds number before. W...
This paper explores the correlation of instruction counts and cache misses to runtime performance for a large family of divide and conquer algorithms to compute the Walsh–Hadama...
Although algorithms that employ dynamic reconfiguration are extremely fast, they need the underlying architecture to change structure very rapidly, possibly at each step of the c...
This paper introduces a new method based on k-Nearest Neighbors Graphs (KNNG) for bringing into alignment multiple views of the same scene acquired at two different time points. T...
Estanislao Oubel, Mathieu De Craene, Mattia Gazzol...