A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

For K-Swarm, an M-346FA manned jet (left) took control of an unmanned Kizilelma unmanned combat aerial vehicle (right). (Baykar, Leonardo ) Baykar and Leonardo have demonstrated the crewed-uncrewed ...

Abstract: In graph signal processing (GSP), graph learning is concerned with the inference of an underlying graph best capable of modeling a dataset of graph signals. However, more complex datasets ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

The path planning capability of autonomous robots in complex environments is crucial for their widespread application in the real world. However, long-term decision-making and sparse reward signals ...

Abstract: K _means algorithm is one of the typical clustering algorithms in text mining tasks. K_means algorithm is widely used in many areas because of its easy to implement and ability to handle ...

Compared to other clustering techniques, DBSCAN does not require you to explicitly specify how many data clusters to use, explains Dr. James McCaffrey of Microsoft Research in this full-code, ...

Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

On March 15, intriguing seminar announcements sent rumblings through the field of combinatorics, the mathematical study of counting. Three collaborators planned to give coordinated talks the following ...