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Consistency model

Known as: Strict consistency, Memory consistency, Memory consistency model 
In computer science, consistency models are used in distributed systems like distributed shared memory systems or distributed data stores (such as a… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields… 
2009
2009
In traffic surveillance applications a good prior model of vehicle shape and appearance is becoming increasingly more important… 
Review
2008
Review
2008
Efficiency and accuracy are two major concerns in numerical solutions of the Poisson-Boltzmann equation for applications in… 
Highly Cited
2006
Highly Cited
2006
Continuously Adaptive Mean shift (CAMSHIFT) is a popular algorithm for visual tracking, providing speed and robustness with… 
2001
2001
Over the course of the past five years, researchers and practitioners have demonstrated that digital reference services can… 
1998
1998
Robust estimation of the probability vector is an important problem for the finite k cell multinomial model. When the probability… 
Highly Cited
1998
Highly Cited
1998
This paper presents a proposal for specifying task models for cooperative applications that allow designers to describe the… 
Highly Cited
1997
Highly Cited
1997
We present an adaptive image coding algorithm based on novel backward-adaptive quantization/classification techniques. We use a… 
1995
1995
We exploit the Delta LogNormal theory, a powerful tool for the generation and modeling of rapid movements to generate curvilinear… 
Highly Cited
1988
Highly Cited
1988
Schema-based representations for visual knowledge are integrated with constraint satisfaction techniques. This integration is…