An Information Measure for Classification

An Information-Based Measure for Grouping Quality

Grouping is an essential process of computer vision. However, measurement of grouping results is not straightforward and is often heuristic. We propose here a method for measuring grouping quality which is based on the following observation: the grouping result provides some information about the true, unknown grouping and reduces its uncertainty. This uncertainty is evaluated by the number of ...

An Information Theoretic Measure for Robot Expressivity

This paper presents a principled way to think about articulated movement for artificial agents and a measurement of platforms that produce such movement. In particular, in human-facing scenarios, the shape evolution of robotic platforms will become essential in creating systems that integrate – and communicate – with human counterparts. This paper provides a tool to measure the expressive capac...

An input-oriented radial measure for returns to scale aggregation.

In production theory, it is necessary to be capable of predicting the production func- tion’s long-run behaviors. Hereof, returns to scale is a helpful concept. Returns to scale describes the reaction of a production function to the proportionally scaling all its input variables. In this regard, Data envelopment analysis (DEA) provides a com- prehensive framework for returns to scale evaluation...

Quantization with an Information-Theoretic Distortion Measure

An approach to quantitatively measure Information security

Measuring information security has traditionally been daunting task due to the lack of proper tools. Even more, organizations are concerned about suffering security breaches but, most of the time, justifying security investment is a tough task in the absence of a tangible measurement. In this paper, we propose an approach to quantitatively measure different aspects of information security. The ...