This is a Tensorflow implementation of Disjoint-CNN for Multivariate Time Series Classification. Additionally, a PyTorch implementation of the 1+1D block is also included. Existing models consider a ...
In set theory in mathematics and formal logic, two sets are said to be disjoint sets if they have no element in common. Equivalently, two disjoint sets are sets whose intersection is the empty set. [1 ...
While there are several ways of implementing disjoint-set data structures, in practice they are often identified with a particular implementation called a disjoint-set forest. This is a specialized ...
Let H(I.J) be the smallest n such that there are I disjoint Golomb rulers each containing J elements chosen from {1,2,...n}. In 1990, Klove gave a table of bounds on H(I,J). In this correspondence we ...
Abstract: The motives for seeking a set of short disjoint paths in a communication network are explained. A sequentially constructed optimal set is defined. Three efficient algorithms, one that ...
Every range contains the empty range. Every multirange contains as many empty ranges as you like. The range union and difference operators will fail if the resulting range would need to contain two ...
During rest and sleep, sequential neural activation patterns corresponding to awake experience re-emerge, and this replay has been shown to benefit subsequent behavior and memory. Whereas some studies ...