منابع مشابه
Topic Modeling and Classification of Cyberspace Papers Using Text Mining
The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...
متن کاملStatistical modeling and conceptualization of natural images
Multi-level annotation of images is a promising solution to enable semantic image retrieval by using various keywords at different semantic levels. In this paper, we propose a multi-level approach to interpret and annotate the semantics of natural images by using both the dominant image components and the relevant semantic image concepts. In contrast to the well-known image-based and region-bas...
متن کاملStatistical Modeling and Conceptualization of Visual Patterns
Natural images contain an overwhelming number of visual patterns generated by diverse stochastic processes. Defining and modeling these patterns is of fundamental importance for generic vision tasks, such as perceptual organization, segmentation, and recognition.Theobjectiveof this epistemological paper is to summarize various threadsof research in the literature and to pursueaunified framework...
متن کاملMeta-Modeling as a Concept: The Conceptualization of Modeling Methods
A growing number of individual conceptual modeling methods are designed not only for the use of software generation but also for model value creation. Hence modeling methods need to provide the necessary concepts and functionality to perform value creation within their application domain. Yet the construction of useful modeling methods is a complex task and requires high effort particularly whe...
متن کاملMemory-Efficient Topic Modeling
As one of the simplest probabilistic topic modeling techniques, latent Dirichlet allocation (LDA) has found many important applications in text mining, computer vision and computational biology. Recent training algorithms for LDA can be interpreted within a unified message passing framework. However, message passing requires storing previous messages with a large amount of memory space, increas...
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: Multimedia Tools and Applications
سال: 2017
ISSN: 1380-7501,1573-7721
DOI: 10.1007/s11042-017-5145-4