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» A computational theory of awareness and decision making
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ICCV
1995
IEEE
13 years 11 months ago
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
William T. Freeman, David H. Brainard
GI
2007
Springer
14 years 1 months ago
A Unified Situation Analysis Model for Human and Machine Situation Awareness
: The use of technology to assist human decision making is not a novel idea. However, we argue that there is a need for a unified model which synthesizes and extends existing model...
Lars Niklasson, Maria Riveiro, Fredrik Johansson, ...
CIS
2006
Springer
13 years 11 months ago
Senior Executives Commitment to Information Security - from Motivation to Responsibility
For senior executives, information security is a basic requirement for business success. Yet, despite being well-motivated, top managers often have only a superficial understandin...
Jorma Kajava, Juhani Anttila, Rauno Varonen, Reijo...
CAV
2009
Springer
123views Hardware» more  CAV 2009»
13 years 11 months ago
On Using Floating-Point Computations to Help an Exact Linear Arithmetic Decision Procedure
We consider the decision problem for quantifier-free formulas whose atoms are linear inequalities interpreted over the reals or rationals. This problem may be decided using satisf...
David Monniaux
KES
2004
Springer
14 years 26 days ago
Chance Discovery with Emergence of Future Scenarios
A "chance" is an event or a situation significant for making a decision in a complex environment. Since we organized a session of Chance Discovery in KES 2000, the basic...
Yukio Ohsawa