We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
Parallel processing using multiple processors is a well-established technique to accelerate many different classes of applications. However, as the density of chips increases, ano...
The identiļ¬cation of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ļ...
AbstractāThe purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
We propose a methodology for representing artificial creatures like 3D flowers. Directed graph and Lindenmayer system (L-system) are commonly involved in AI-based creativity resear...