scholarly journals Object-based evaluation of hierarchical region-based representations based on information theory statistical measures

2008 ◽  
Author(s):  
Felipe Calderero ◽  
Ferran Marques
Keyword(s):  
Information Theory ◽  
Statistical Measures ◽  
Object Based

scholarly journals Is There a Relationship between Energy, Amount of Information and Temperature?

2019 ◽  
pp. 1-9
Author(s):  
Boris M. Menin
Keyword(s):  
Information Theory ◽  
Ambient Temperature ◽  
Physical System ◽  
Scientific Literature ◽  
Energy Content ◽  
Thermodynamic Temperature ◽  
Amount Of Information ◽  
Object Based ◽  
Specific Object ◽  
The Universe

Aims: To use the generally accepted formulas linking energy, temperature and information, and not requiring any additional restrictions, to introduce a practical numerical value of the energy of any specific object based on the amount of information and thermodynamic temperature. Place and Duration of Study: Beer-Sheba, between January 2019 and July 2019. Methodology: By combining the Landauer limit and Bekenstein’s proof that the amount of information of any physical system must be finite, if the object space and its energy are finite, the values of energy-matter and energy, based on the amount of information, were calculated for various elements of nature. In addition, a formula is presented for the energy of the universe containing these two components. Results: The energy content of an object depends not only on its mass and speed. The value of the additional independent component, due to the amount of information contained in the object, is caused by its size and the ambient temperature. This component has never been considered in the scientific literature. This means that energy is inextricably linked with both the space and the thermodynamic component of Nature. Conclusion: Using the generally accepted formulas linking energy, temperature and information and not requiring any additional restrictions, we have shown that it is possible to represent the energy of the universe on the basis of information theory.

STATISTICAL MEASURES AS MEASURES OF DIVERSITY

2010 ◽  
Vol 03 (02) ◽  
pp. 173-185 ◽  
Author(s):  
OM PARKASH ◽  
A. K. THUKRAL
Keyword(s):  
Information Theory ◽  
Data Analysis ◽  
Information Content ◽  
Biological Data ◽  
Central Tendency ◽  
Information Measures ◽  
Interdisciplinary Field ◽  
Statistical Measures ◽  
Data Statistics

Two fields of research have found tremendous applicability in the analysis of biological data-statistics and information theory. Statistics is extensively used for the measurement of central tendency, dispersion, comparison and covariation. Measures of information are used to study diversity and equitability. These two fields have been used independent of each other for data analysis. In this communication, we develop the link between the two and prove that statistical measures can be used as information measures. Our study will be a new interdisciplinary field of research and it will be possible to describe information content of a system from its statistics.

The Pioneer of Generative Art: Georg Nees

Leonardo ◽  
2018 ◽  
Vol 51 (3) ◽  
pp. 277-279
Author(s):  
Frieder Nake
Keyword(s):  
Information Theory ◽  
Computer Art ◽  
Generative Art ◽  
Art And Design ◽  
Object Based ◽  
Phd Thesis ◽  
Information Aesthetics

The pioneer of computer art Georg Nees passed away on 3 January 2016, at the age of 89. He was the first to exhibit computer-generated drawings, in Stuttgart in February 1965. Influenced by Max Bense’s information aesthetics (a rational aesthetics of the object based on Shannon’s information theory), Nees completed his PhD thesis in 1968 (in German). Its title, Generative Computergraphik, is an expression of the new movement of generative art and design. Trained as a mathematician, Nees participated in many early, but also recent, displays of computer art. After retiring from his research position at Siemens in Erlangen, he again concentrated on computer-generated art and researched issues of digital coloring but also wrote several novels expressing his philosophy of a nonreligious, human-made culture.

Constructing and Deconstructing Concepts

2016 ◽  
Vol 63 (5) ◽  
pp. 249-262 ◽  
Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo
Keyword(s):  
Information Theory ◽  
Model Performance ◽  
Unsupervised Classification ◽  
Family Resemblance ◽  
Category Membership ◽  
Formal Models ◽  
Human Beings ◽  
One Dimensional ◽  
Relational Patterns ◽  
Optimal Classification

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.

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