Detecting people remains a popular and challenging problem in computer vision. In this paper, we analyze parts-based models for person detection to determine which components of t...
: Compliance management, risk analysis, and auditing are disciplines that are critical for large scale distributed enterprise systems. The way these complex systems are developed a...
Purpose – The purpose of this paper is to suggest and empirically test a model that explains employee capabilities from the knowledge-based perspective. In this model, human cap...
Scalability is recognized as a key challenge in the automated analysis of Feature Models (FMs). Current solutions in this context mainly propose using different logic paradigms as...
Abstract-- This paper presents a method to associate meanings to words in manipulation tasks. We base our model on an affordance network, i.e., a mapping between robot actions, rob...