Commonality Breeds Intent

Unsupervised Temporal Commonality Discovery

Unsupervised discovery of commonalities in images has recently attracted much interest due to the need to find correspondences in large amounts of visual data. A natural extension, and a relatively unexplored problem, is how to discover common semantic temporal patterns in videos. That is, given two or more videos, find the subsequences that contain similar visual content in an unsupervised man...

Software Process Commonality Analysis

One of the major challenges in software development projects consists of defining appropriate development processes and tailoring them to project and organizational constraints. One solution for this problem is to develop domainspecific adaptable reference process models based on empirically gained experience, observation of real processes, and comparison of these processes. This article presen...

Commonality-Based ABox Retrieval

Defining Families: The Commonality Analysis

Software engineers today are often asked to do both rapid production and careful engineering at the same time. One way to help resolve the tension between these often conflicting goals is to develop families of software and to invest in facilities for rapidly producing family members. Success in such an endeavor requires that the software engineers be able to identify the desired family members...

Moebius inverses of plausibility and commonality functions

In this paper we introduce indeed two alternative formulations of the theory of evidence by proving that both plausibility and commonality functions share the same combinatorial structure of sum function of belief functions, and computing their Moebius inverses called basic plausibility and commonality assignments. As they are discovered through geometric methods, the latter inherit the same si...