An Extended Perona–Malik Model Based on Probabilistic Models
نویسندگان
چکیده
منابع مشابه
mortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولThe Probabilistic Model Checker Storm (Extended Abstract)
Goals. Probabilistic model checking has matured immensely in the past decade [1,2,3,4]. Applications and uses go far beyond the standard algorithms and objectives. We therefore developed an extensible toolbox for probabilistic model checking that offers reusable modules to quickly implement new functionality. The rise of more and more specialized tools witnesses that a single tool is rarely sui...
متن کاملProbabilistic Model – Checking of Quantum Protocols ( Extended
In the 1980s it was first realized that quantum–mechanical phenomena can be exploited directly for the manipulation, storage and transmission of information. The discovery of quantum algorithms for prime factorization [18] and unstructured search [7], which outperformed the best classical algorithms for these tasks significantly, opened up new vistas for computer science and gave an initial thr...
متن کاملIdentity Matching Based on Probabilistic Relational Models
Identity management is critical to various organizational practices ranging from citizen services to crime investigation. The task of searching for a specific identity is difficult because multiple identity representations may exist due to issues related to unintentional errors and intentional deception. In this study we propose a probabilistic relational model (PRM) based approach to match ide...
متن کاملImage analysis based on probabilistic models
This paper discusses random field based image classification methods, and in particular conditional random fields (CRF), for topographic mapping. A short review of the CRF principles reveals their main advantages, namely the possibility to incorporate local context into the classification to quantify the quality of the results in terms of probabilities. Three examples, the classification of poi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2017
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-017-0746-0